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Mid Data Engineer

The Bison Group LLC Springfield, VA

Springfield, VA

Today

Full time Analytics Aws Data Engineer Big Data

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Job Description

The Mid Data Engineer role supports a National Security mission for NGA by improving access and delivery of GEOINT data across cloud and enterprise environments. The position partners with engineers and mission teams to build reliable data pipelines, integrations, and data models.

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
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 Qualifications

Geospatial or imagery data: 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, or C++, including documentation for reproducibility, with ability to produce readable, tested, and documented code using Git
Strong knowledge 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 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 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 (tools depend on assigned work)

Technologies

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

Education and Experience

Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field
Minimum: 3 years of relevant experience
Minimum range: 3–5 years with a bachelor’s degree, or 1–3 years with a related master’s degree

Clearance

TS/SCI CI Poly

Work Location and Schedule

Location: Springfield, VA (onsite)

Schedule: Monday to Friday, 8am to 5pm

Preferred Qualifications

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

Benefits

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

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