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City-Data
City-Data.com is a website that provides detailed information about cities and towns across the United States. The website includes population information, crime statistics, cost of living data, housing information, school profiles, and much more. It also provides interactive maps and charts that provide visual representations of the data. Users can search for a city or town to view its detailed profile, or compare two or more cities side-by-side. City-Data.com is a valuable resource for information about our cities and towns. It is a great tool for researching and understanding the many facets of life in the United States.
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EncryptedSite is Encrypted
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CountryHosted in United States
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Latitude\Longitude37.751 / -97.822 Google Map
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Traffic rank#3,575 Site Rank
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Site age54 yrs old
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Site Owner informationWhois info
Website is Safe
Site is not blacklisted
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OwnerAdvameg, Inc.
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Launched2003
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Type of siteSocial networking,/ information site
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Available inEnglish
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Current statusActive
Traffic rank
#3,575
#3,575
Site age
54 yrs
54 yrs
Location
United States
United States
Popular Questions for City-Data
Newest job postings for City-Data
via LinkedIn
posted_at: 5 days agoschedule_type: Full-time
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...
Work You'll Do/Responsibilities
• Work with data science techniques and libraries to show data's applicability to business problems.
• Perform exploratory data analysis to define analytical models.
• Develop advanced quantitative models using a variety of programs/software to support predictive assessments.
• Provide expertise for analytical, programmatic, strategic, and operational analysis.
• Explain analytics model behavior/results in the vernacular of... business.
• Perform technical risk analysis and reliability assessments.
• Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models, and techniques.
• Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
• Provide recommendations for plans, programs, strategies, policies, and budgets.
• Design algorithms that require a number of different models/methods to be used in an ensemble.
• Deploy models into production.
The Team
Artificial Intelligence & Data Engineering
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:
• Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements.
Qualifications
Required
• Solid understanding of the ML lifecycle and concepts
• Experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions
• 6+ years of experience in developing algorithms using data science technologies to build analytical models.
• 6+ years of data extraction/manipulation experience using scripts specific to AI/ML
• 6+ years of IT experience. Minimum 2 years of relevant experience delivering AI/ML projects.
• 6+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.
• 6+ years of experience in data wrangling/cleansing, statistical modeling, and programming.
• 5+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, Qlikview, Excel and Access.
• Extensive experience working in an Agile development environment
• Fluency in both structured and unstructured data (SQL, NOSQL)
• Production experience with Apache Spark
• Hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment
• Familiarity with Linux OS and Windows servers
• Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
• Travel up to 20% (While 20% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice).
• Must live a commutable distance to one of the following cities: Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Dallas, TX; Detroit, MI; Denver, CO; Gilbert, AZ; Houston, TX; Indianapolis, IN; Kansas City, MO; Lake Mary, FL; Los Angeles, CA; Mechanicsburg, PA; Miami, FL; McLean, VA; Minneapolis, MN; Nashville, TN; Orange County, CA; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Rosslyn, VA; Sacramento, CA; St. Louis, MO; San Diego, CA; Seattle, WA; Tallahassee, FL; Tampa, FL; or be willing to relocate to one of the following USDC locations: Gilbert, AZ; Lake Mary, FL; Mechanicsburg, PA.
• Bachelor's degree or equivalent work experience in Statistics/Technology/Science/Engineering/Applied Mathematics or a similar quantitate analytics field.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
• Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.
• Familiarity with Kubeflow or mlflow
• Experience with machine learning pipelines (Azure ML)
• Familiarity with the latest Natural Language Processing or Computer Vision related algorithms
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93k to $155k.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance Show more details...
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...
Work You'll Do/Responsibilities
• Work with data science techniques and libraries to show data's applicability to business problems.
• Perform exploratory data analysis to define analytical models.
• Develop advanced quantitative models using a variety of programs/software to support predictive assessments.
• Provide expertise for analytical, programmatic, strategic, and operational analysis.
• Explain analytics model behavior/results in the vernacular of... business.
• Perform technical risk analysis and reliability assessments.
• Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models, and techniques.
• Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
• Provide recommendations for plans, programs, strategies, policies, and budgets.
• Design algorithms that require a number of different models/methods to be used in an ensemble.
• Deploy models into production.
The Team
Artificial Intelligence & Data Engineering
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:
• Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements.
Qualifications
Required
• Solid understanding of the ML lifecycle and concepts
• Experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions
• 6+ years of experience in developing algorithms using data science technologies to build analytical models.
• 6+ years of data extraction/manipulation experience using scripts specific to AI/ML
• 6+ years of IT experience. Minimum 2 years of relevant experience delivering AI/ML projects.
• 6+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.
• 6+ years of experience in data wrangling/cleansing, statistical modeling, and programming.
• 5+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, Qlikview, Excel and Access.
• Extensive experience working in an Agile development environment
• Fluency in both structured and unstructured data (SQL, NOSQL)
• Production experience with Apache Spark
• Hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment
• Familiarity with Linux OS and Windows servers
• Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
• Travel up to 20% (While 20% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice).
• Must live a commutable distance to one of the following cities: Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Dallas, TX; Detroit, MI; Denver, CO; Gilbert, AZ; Houston, TX; Indianapolis, IN; Kansas City, MO; Lake Mary, FL; Los Angeles, CA; Mechanicsburg, PA; Miami, FL; McLean, VA; Minneapolis, MN; Nashville, TN; Orange County, CA; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Rosslyn, VA; Sacramento, CA; St. Louis, MO; San Diego, CA; Seattle, WA; Tallahassee, FL; Tampa, FL; or be willing to relocate to one of the following USDC locations: Gilbert, AZ; Lake Mary, FL; Mechanicsburg, PA.
• Bachelor's degree or equivalent work experience in Statistics/Technology/Science/Engineering/Applied Mathematics or a similar quantitate analytics field.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
• Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.
• Familiarity with Kubeflow or mlflow
• Experience with machine learning pipelines (Azure ML)
• Familiarity with the latest Natural Language Processing or Computer Vision related algorithms
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93k to $155k.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance Show more details...
via Salary.com
schedule_type: Full-time
The League of California Cities is looking for a talented and professional Data & Application Support Analyst. This position provides expert technical application support to staff regarding Cal Cities’ Association Management Software (AMS), Office 365 and other software solutions as needed. Responsible for creating and documenting standards for application use, training staff, determining... opportunities for data use, maintaining data integrity
The League of California Cities is looking for a talented and professional Data & Application Support Analyst. This position provides expert technical application support to staff regarding Cal Cities’ Association Management Software (AMS), Office 365 and other software solutions as needed. Responsible for creating and documenting standards for application use, training staff, determining... opportunities for data use, maintaining data integrity and governance, provide data analysis and recommendations, working across the organization to achieve operational efficiencies and support within Cal Cities tech stack. Responsible for interacting with staff and city officials to maintain data within the AMS system as well as updating processes and workflows for business needs across the organization.
Summary of Essential Duties:
• Provide application support for Cal Cities AMS system and serve as primary contact for all inquiries and issues
• Responsible for working with staff and city officials to maintain data and update workflows according to present and future organization needs.
• Develop methods and techniques to improve processes by working with business experts and other staff.
• Develop and maintain Application Support standards, procedures, resolutions, and training documentation as required.
• Provide detailed documentation and training on applications.
• Create and generate templates, views, and queries by using SQL programming and database concepts.
• Write, maintain, and support a variety of reports or queries utilizing appropriate reporting tools.
• Assist in development of standard reports for ongoing organizational needs.
• Help maintain data integrity in systems by running queries and analyzing data.
• Maintain database updates and data
• Provide data analytics to support organizational decision making and information analysis
• Investigate and troubleshoot any data and application issues
• Assist IT Director in strategic planning in relation to Cal Cities AMS system and tech stack, new updates or processes, and implementation of new applications.
• Assist and manage rollout responsibilities in alignment with Cal Cities strategic planning and technical application needs.
• Support Cal Cities staff and teams in technology adoption and application through training, documenting, creating, and designing different processes of application use
• Provide leadership in application integration, data migration, and synchronization
Finance & Operations Department
Embracing teamwork and an entrepreneurial spirit, the Finance and Operations Department strives to deliver exceptional customer service, support and solutions that empower the organization’s seventy-five team members to advance and fulfill Cal Cities mission. The 11-person Finance and Operations team provides key operations in finance, human resources, facilities management, and information technology. Individual and collective contributions by team members reflect the department’s commitment to customer service and excellence.
Cal Cities
Headquartered in downtown Sacramento, since 1898 the League of California Cities has been an active partner in local government. Providing legislative advocacy, educational and informational services to cities, Cal Cities’ mission is to enhance the quality of life for all Californians by protecting local control. Reflecting the diversity of California, each of Cal Cities’ employees is a vital partner in the organization’s mission and success.
Cal Cities Culture
Cal Cities is dedicated to creating a collaborative and inclusive environment where passionate professionals can thrive. We’re looking for candidates who are focused, driven, and above all else, seeking deeper meaning in their work. If you also have a passion for public service, local government, advancing equity, and working with dynamic, talented teammates, this just might be the right place for you!
Work Schedule and Travel
Cal Cities’ normal workweek is Monday through Friday, 8:30 a.m. to 5 p.m.
Occasional travel via automobile or air is required in normal course of job duties.
Compensation & Benefits
Salary: Depending on qualifications. Salary Range $54,707 - $85,796.
Retirement: California Public Employees Retirement System (CalPERS) 2% at 60 for classic CalPERS members; 2% at 62 for new CalPERS members.
Deferred Compensation: Employees may defer compensation through Cal Cities’, Mission Square 457 defined contribution plan.
Health/Dental/Vision Insurance: Employees participate in an optional benefit program that includes dental insurance, vision insurance and medical coverage selected from three HMO and two PPO plans.
Life Insurance: Employer-paid life insurance coverage for employees. Supplemental employee-paid coverage is available.
Other Benefits: Under employer’s optional benefit program, employees may use a portion of their salaries on a pre-tax basis to cover childcare and/or certain health care expenses.
Vacation: Two weeks annually; three weeks after five years of service.
Holidays: Employees receive twelve paid holidays annually.
Sick Leave: Employees earn twelve days annually.
Minimum of 4 years’ experience in application and data support. Experience and knowledge in reporting writing tools, SQL reporting services or similar reporting software. Experience and knowledge with business applications and software implementation. Familiarity with SQL programming and writing queries. Experience in Office 365, MS Dynamics or association relational databases preferred. Bachelor’s degree or equivalent preferred.
Recruitment/Decision Schedule
Recruitment for the Data & Application Support Analyst will be ongoing until the position is filled. The goal is to complete the recruitment process at the earliest opportunity and welcome the new team member on board as soon as possible.
Job Type: Full-time
Pay: $54,707.00 - $84,796.00 per year Show more details...
Summary of Essential Duties:
• Provide application support for Cal Cities AMS system and serve as primary contact for all inquiries and issues
• Responsible for working with staff and city officials to maintain data and update workflows according to present and future organization needs.
• Develop methods and techniques to improve processes by working with business experts and other staff.
• Develop and maintain Application Support standards, procedures, resolutions, and training documentation as required.
• Provide detailed documentation and training on applications.
• Create and generate templates, views, and queries by using SQL programming and database concepts.
• Write, maintain, and support a variety of reports or queries utilizing appropriate reporting tools.
• Assist in development of standard reports for ongoing organizational needs.
• Help maintain data integrity in systems by running queries and analyzing data.
• Maintain database updates and data
• Provide data analytics to support organizational decision making and information analysis
• Investigate and troubleshoot any data and application issues
• Assist IT Director in strategic planning in relation to Cal Cities AMS system and tech stack, new updates or processes, and implementation of new applications.
• Assist and manage rollout responsibilities in alignment with Cal Cities strategic planning and technical application needs.
• Support Cal Cities staff and teams in technology adoption and application through training, documenting, creating, and designing different processes of application use
• Provide leadership in application integration, data migration, and synchronization
Finance & Operations Department
Embracing teamwork and an entrepreneurial spirit, the Finance and Operations Department strives to deliver exceptional customer service, support and solutions that empower the organization’s seventy-five team members to advance and fulfill Cal Cities mission. The 11-person Finance and Operations team provides key operations in finance, human resources, facilities management, and information technology. Individual and collective contributions by team members reflect the department’s commitment to customer service and excellence.
Cal Cities
Headquartered in downtown Sacramento, since 1898 the League of California Cities has been an active partner in local government. Providing legislative advocacy, educational and informational services to cities, Cal Cities’ mission is to enhance the quality of life for all Californians by protecting local control. Reflecting the diversity of California, each of Cal Cities’ employees is a vital partner in the organization’s mission and success.
Cal Cities Culture
Cal Cities is dedicated to creating a collaborative and inclusive environment where passionate professionals can thrive. We’re looking for candidates who are focused, driven, and above all else, seeking deeper meaning in their work. If you also have a passion for public service, local government, advancing equity, and working with dynamic, talented teammates, this just might be the right place for you!
Work Schedule and Travel
Cal Cities’ normal workweek is Monday through Friday, 8:30 a.m. to 5 p.m.
Occasional travel via automobile or air is required in normal course of job duties.
Compensation & Benefits
Salary: Depending on qualifications. Salary Range $54,707 - $85,796.
Retirement: California Public Employees Retirement System (CalPERS) 2% at 60 for classic CalPERS members; 2% at 62 for new CalPERS members.
Deferred Compensation: Employees may defer compensation through Cal Cities’, Mission Square 457 defined contribution plan.
Health/Dental/Vision Insurance: Employees participate in an optional benefit program that includes dental insurance, vision insurance and medical coverage selected from three HMO and two PPO plans.
Life Insurance: Employer-paid life insurance coverage for employees. Supplemental employee-paid coverage is available.
Other Benefits: Under employer’s optional benefit program, employees may use a portion of their salaries on a pre-tax basis to cover childcare and/or certain health care expenses.
Vacation: Two weeks annually; three weeks after five years of service.
Holidays: Employees receive twelve paid holidays annually.
Sick Leave: Employees earn twelve days annually.
Minimum of 4 years’ experience in application and data support. Experience and knowledge in reporting writing tools, SQL reporting services or similar reporting software. Experience and knowledge with business applications and software implementation. Familiarity with SQL programming and writing queries. Experience in Office 365, MS Dynamics or association relational databases preferred. Bachelor’s degree or equivalent preferred.
Recruitment/Decision Schedule
Recruitment for the Data & Application Support Analyst will be ongoing until the position is filled. The goal is to complete the recruitment process at the earliest opportunity and welcome the new team member on board as soon as possible.
Job Type: Full-time
Pay: $54,707.00 - $84,796.00 per year Show more details...
via LinkedIn
posted_at: 5 days agoschedule_type: Full-time
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery... Centers have been growing since 2014 with significant,
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery... Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...
Work You'll Do/Responsibilities
• Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management.
• Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements.
• Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution.
• Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming.
• Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods.
• Use an analytical, data-driven approach to drive a deep understanding of fast changing business.
• Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform.
• Moving data from on-prem to cloud and cloud data conversions.
The Team
Artificial Intelligence & Data Engineering:
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements.
Qualifications
Required
• 6+ years of experience in data engineering with an emphasis on data analytics and reporting.
• 6+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
• 6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.).
• 6+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.
• 6+ years of experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other.
• 6+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
• Bachelor's degree or equivalent work experience.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Travel up to 10% annually
• Must live or be willing to relocate to a commutable distance to one of the following cities: Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Dallas, TX; Detroit, MI; Houston, TX; Indianapolis, IN; Kansas City, MO; Miami, FL; Minneapolis, MN; Nashville, TN; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Sacramento, CA; St. Louis, MO; Seattle, WA; Tallahassee, FL; Tampa, FL
Preferred
• AWS, Azure and/or Google Cloud Platform Certification.
• Master's degree or higher.
• Expertise in one or more programming languages, preferably Scala, PySpark and/or Python.
• Experience working with either a Map Reduce or an MPP system on any size/scale.
• Experience working with agile development methodologies such as Sprint and Scrum.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93k to $155k.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance Show more details...
Our US Delivery... Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...
Work You'll Do/Responsibilities
• Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management.
• Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements.
• Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution.
• Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming.
• Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods.
• Use an analytical, data-driven approach to drive a deep understanding of fast changing business.
• Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform.
• Moving data from on-prem to cloud and cloud data conversions.
The Team
Artificial Intelligence & Data Engineering:
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements.
Qualifications
Required
• 6+ years of experience in data engineering with an emphasis on data analytics and reporting.
• 6+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
• 6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.).
• 6+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.
• 6+ years of experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other.
• 6+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
• Bachelor's degree or equivalent work experience.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Travel up to 10% annually
• Must live or be willing to relocate to a commutable distance to one of the following cities: Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Dallas, TX; Detroit, MI; Houston, TX; Indianapolis, IN; Kansas City, MO; Miami, FL; Minneapolis, MN; Nashville, TN; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Sacramento, CA; St. Louis, MO; Seattle, WA; Tallahassee, FL; Tampa, FL
Preferred
• AWS, Azure and/or Google Cloud Platform Certification.
• Master's degree or higher.
• Expertise in one or more programming languages, preferably Scala, PySpark and/or Python.
• Experience working with either a Map Reduce or an MPP system on any size/scale.
• Experience working with agile development methodologies such as Sprint and Scrum.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93k to $155k.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance Show more details...
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