Description
As a Mid Data Engineer, you will support an exciting National Security mission to position NGA to be the enterprise and community GEOINT data provider, improving the way analysts, customers, and end users access, discover, stage, link, produce, re-integrate, and deliver intelligence. You will partner with experienced engineers and mission teams to improve reliable data delivery across cloud and enterprise environments.
Work Schedule:
Monday – Friday 8am – 5pm
Essential Responsibilities:
Design, build, test, and maintain data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations
Develop and maintain API connectors and integrations that ingest data from internal platforms and external services
Create and improve data models and processing workflows to meet established performance, scale, and reliability needs
Implement data validation, quality checks, monitoring, and documentation for assigned data products and workflows
Work with mission stakeholders, analysts, and architects to clarify requirements and deliver maintainable technical solutions
Troubleshoot pipeline and data integration issues, support production deployments, and communicate risks or complex issues to the team
Requirements
Experience with geospatial or imagery data is required only for assignments that use those sources; otherwise, experience with comparable structured and unstructured data is acceptable
Experience writing code in Python, R, Scala, JavaScript, C++ with documentation for reproducibility, with the ability to write readable, tested, and documented code using Git
Strong knowledge and experience of visual programming or object-oriented modeling workflows to automate data acquisition
Practical experience with ETL/ELT workflows, relational data, and common structured or semi-structured data formats
Ability to apply data validation and analytical techniques to investigate data quality issues and assess the results of a solution
Experience developing, testing, and supporting data pipelines or integrations in a team environment
Ability to select and apply appropriate data transformation approaches, explain tradeoffs, and recognize when an issue needs senior review
Working knowledge of data modeling, metadata, or data catalog concepts
Exposure to cloud data platforms or tools such as AWS, Spark, Hadoop, Hive, Elasticsearch, or Tableau; specific tools depend on the assigned work
Clearance Required:
TS/SCI CI Poly
Minimum Education:
Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field; equivalent education and experience may be considered
Minimum Years of Experience: 3–5 years of relevant experience with a bachelor’s degree, or 1–3 years with a related master’s degree
Preferred Qualifications:
• AI/ML experience
• Knowledge of metadata standards
• Knowledge and experience with Search tools, Search results organization and the implications of metadata organization, indexing, catalog content
• Experience in GIS-related applications
The Bison Group, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, genetic information, or protected veteran status and will not be discriminated against on the basis of disability. If you’d like to view a copy of the company’s affirmative action plan for protected veterans/individuals with disabilities or our policy statement, please email EEO@bisongroupusa.com . If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail Accessibiity@bisongroupusa.com . This mailbox is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails sent for this purpose will be returned. Emails left for other…