GAP Solutions Inc
Data Engineer (Human Capital)
GAP Solutions Inc, Jefferson City, Missouri, United States, 65109
Position Objective: The Data Engineer is working with our NASA client in Washington, DC. The ideal candidate will have strong data engineering expertise and can review human capital related information. We are looking for someone able to extract datasets from different sources, coordinate the cleaning process, maintain data integrity, and prepare them for client use in their enterprise data environment. This person will also serve as a lead consultant to identify and collect customers' analytic and architectural requirements.
Duties and Responsibilities
Serve as an advisor to our NASA OCHCO (Office of the Chief Human Capital Officer) customer while leading development in data engineering activities.
Develop, implement and maintain a data pipeline using the Databricks platform, including extracting datasets using APIs, manipulating common data formats (e.g., parquet, text files, JSON), and automating routine data refreshes.
Build AWS resources to support data pipelining, storage, and analysis efforts.
Research and recommend software, systems, and processes as needed.
Be an effective consultant, including gathering analytic requirements to provide clear and concise solutions.
Work in a fast‑paced, solutions‑oriented environment focused on client deliverables, analysis, and reporting.
Conduct extensive quality control and record keeping procedures to ensure the highest levels of data integrity.
Qualifications Basic Qualifications:
Bachelor’s Degree (Master's preferred) in a STEM or social science related field including coursework in basic statistics and measurement is required
3+ years of related data engineering or technical consulting experience
Experience developing and automating data pipelines using Databricks
Proficient in Python for object‑oriented programming, automation, and data analysis; also experienced with computational tools such as R.
Experience with ETL processes, including ingesting data from raw sources (APIs, web scraping), transforming them into usable formats for analysis, and validating them with automated checks
Hands‑on experience with GitHub for version control.
Familiarity with GitHub Projects for task management.
Experience building out common AWS infrastructure (e.g. EC2, S3, Lambda rules)
Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections
Excellent communication skills and proven ability to work with business customers and technical teams
Minimum Qualifications:
Experience with Human Capital Data Analytics and ability to synthesize HR/Staffing data to create meaningful information that supports decision‑making
Experience with automation of recurring reports
Performing data analysis and/or creating and applying HR performance metrics is desired
Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
Experience creating and maintaining GitHub Actions workflows for automation or CI/CD
Bonus skill sets valued by the customer:
Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph‑based algorithms to analyze massive data sets
Supervising algorithm implementation in on‑premise and cloud‑based computing environments
Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Power BI, RShiny, and plotly to communicate findings
Ability to communicate effectively, orally and in writing, with non‑technical and technical staff
Detail‑oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects
GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
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Duties and Responsibilities
Serve as an advisor to our NASA OCHCO (Office of the Chief Human Capital Officer) customer while leading development in data engineering activities.
Develop, implement and maintain a data pipeline using the Databricks platform, including extracting datasets using APIs, manipulating common data formats (e.g., parquet, text files, JSON), and automating routine data refreshes.
Build AWS resources to support data pipelining, storage, and analysis efforts.
Research and recommend software, systems, and processes as needed.
Be an effective consultant, including gathering analytic requirements to provide clear and concise solutions.
Work in a fast‑paced, solutions‑oriented environment focused on client deliverables, analysis, and reporting.
Conduct extensive quality control and record keeping procedures to ensure the highest levels of data integrity.
Qualifications Basic Qualifications:
Bachelor’s Degree (Master's preferred) in a STEM or social science related field including coursework in basic statistics and measurement is required
3+ years of related data engineering or technical consulting experience
Experience developing and automating data pipelines using Databricks
Proficient in Python for object‑oriented programming, automation, and data analysis; also experienced with computational tools such as R.
Experience with ETL processes, including ingesting data from raw sources (APIs, web scraping), transforming them into usable formats for analysis, and validating them with automated checks
Hands‑on experience with GitHub for version control.
Familiarity with GitHub Projects for task management.
Experience building out common AWS infrastructure (e.g. EC2, S3, Lambda rules)
Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections
Excellent communication skills and proven ability to work with business customers and technical teams
Minimum Qualifications:
Experience with Human Capital Data Analytics and ability to synthesize HR/Staffing data to create meaningful information that supports decision‑making
Experience with automation of recurring reports
Performing data analysis and/or creating and applying HR performance metrics is desired
Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
Experience creating and maintaining GitHub Actions workflows for automation or CI/CD
Bonus skill sets valued by the customer:
Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph‑based algorithms to analyze massive data sets
Supervising algorithm implementation in on‑premise and cloud‑based computing environments
Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Power BI, RShiny, and plotly to communicate findings
Ability to communicate effectively, orally and in writing, with non‑technical and technical staff
Detail‑oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects
GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
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