Mid Data Engineer

The Bison Group LLC; Springfield (VA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

PTO including vacation, sick leave, &H

Job summary

The Bison Group LLC in Springfield, VA is seeking a data engineer to design, build, test, and maintain data pipelines, ETL/ELT workflows, and API connectors for analytics and mission operations.

You will collaborate with engineers and mission teams to ensure reliable data delivery across cloud and enterprise environments, implement data validation, and produce well-documented code using Python, R, Scala, JavaScript, or C++, with Git version control.

Qualifications

• Bachelor’s or master’s degree in a related field.
• Experience with geospatial or imagery data is required only for relevant assignments.
• Ability to write well-documented code in Python, R, Scala, JavaScript, or C++ with Git.
• Strong knowledge of visual programming or object-oriented modeling workflows.
• Experience with ETL/ELT, relational data, and structured or semi-structured formats.
• Ability to validate data, investigate data quality issues, and evaluate solutions.

Responsibilities

• Design, build, test, and maintain data pipelines and ETL/ELT workflows for analytics and mission operations.
• Develop and maintain API connectors and integrations to ingest data.
• Create and improve data models and processing workflows for performance and scalability.
• Implement data validation, quality checks, monitoring, and documentation.
• Troubleshoot pipeline issues and support production deployments.
• Collaborate with stakeholders to clarify requirements and deliver maintainable solutions.

Skills

3+ years of relevant experience

Python

R

Scala

JavaScript

C++

Git

ETL/ELT

Relational data

Data validation

Education

Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field

Tools

API connectors

AWS

Spark

Hadoop

Hive

Elasticsearch

Tableau

Job description

The Bison Group LLC supports a National Security mission for NGA by improving access and delivery of GEOINT data across cloud and enterprise environments. In this onsite role in Springfield, VA, you will partner with engineers and mission teams to build reliable data pipelines, integrations, and data models that help keep mission operations moving.

What you’ll be building

• Design, build, test, and maintain data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations
• Develop and maintain API connectors and integrations to ingest data from internal platforms and external services
• Create and improve data models and processing workflows to meet performance, scale, and reliability needs
• Implement data validation, quality checks, monitoring, and documentation for assigned data products and workflows

How you’ll work with the mission

• Collaborate 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

Required background

• 3+ years of relevant experience (or 1-3 years with a related master’s degree)
• Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field
• 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
• Ability to write code in Python, R, Scala, JavaScript, or C++, including documentation for reproducibility, using Git to write readable, tested, and documented code
• Strong knowledge of visual programming or object-oriented modeling workflows to automate data acquisition
• Practical experience with ETL/ELT, relational data, and common structured or semi-structured formats
• Ability to apply data validation and analytical techniques to investigate data quality issues and evaluate solution outcomes
• 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 identify 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

Technologies you may use

Python, R, Scala, JavaScript, C++, Git, ETL/ELT, AWS, Spark, Hadoop, Hive, Elasticsearch, Tableau

Schedule and clearance

• Monday-Friday, 8am-5pm
• Clearance required: TS/SCI CI Poly

Benefits

• Medical, dental, vision, life, and disability insurance
• Accrued PTO including vacation, sick leave, and holidays

Preferred qualifications

• AI/ML experience
• Knowledge of metadata standards
• Knowledge and experience with Search tools, organization of search results, and implications of metadata organization, indexing, and catalog content
• Experience in GIS-related applications