Mid Data Engineer

BeaKen Systems & Technology Solutions, Inc.; Springfield (VA); On-site; USD 95,000 - 130,000; Full time

Job summary

BeaKen Systems & Technology Solutions, Inc. is seeking a Mid Data Engineer to support a National Security mission by delivering reliable data products and pipelines across cloud and enterprise environments.

You will collaborate with engineers and mission teams to enable analysts and end users to access, discover, stage, link, and deliver intelligence data. Responsibilities include designing and maintaining ETL/ELT workflows, building API connectors, and implementing data quality checks.

Qualifications

• Experience writing readable, tested, and documented code with Git.
• Experience with ETL/ELT workflows and relational data.
• Familiarity with geospatial or imagery data is a plus but not required.
• Ability to validate data quality and analyze data issues.
• Experience developing data pipelines in a team environment.

Responsibilities

• Design, build, test, and maintain data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations.
• Develop and maintain API connectors to ingest data from internal and external sources.
• Create and improve data models and processing workflows for performance and reliability.
• Implement data validation, quality checks, monitoring, and documentation for data products.
• Collaborate with stakeholders to clarify requirements and deliver maintainable solutions.
• Troubleshoot pipeline issues and support deployments; communicate risks clearly.

Skills

Python

R

Scala

JavaScript

C++

Git

ETL/ELT

Data modeling

Cloud data platforms

Data pipelines

Education

Bachelor’s or Master’s degree in computer science or related field

Tools

AWS

Spark

Hadoop

Hive

Elasticsearch

Tableau

Job 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

Minimum Requirements (Knowledge, Skills, and Abilities):

• 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

Required Certifications: N/A

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