Mid-Level Data Engineer

Meridian Systematics; Springfield (VA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Flexible schedule

Health insurance

Paid time off

Parental leave

Job summary

Meridian Systematics LLC is seeking a Mid-Level Data Engineer to support a National Geospatial-Intelligence Agency program. You will design and build data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations, enabling analysts and end users to access and deliver intelligence across cloud and on-premise environments.

Collaborate with senior engineers and mission teams to ensure reliable data, implement validation and quality checks, and help scale data products while

Qualifications

• Active TS/SCI clearance with CI Polygraph.
• Bachelor's degree with 3–5 years of relevant experience, or related master's with 1–3 years.
• Experience writing readable, tested, and documented code in Python, R, Scala, JavaScript, or C++, using Git.
• Practical experience with ETL/ELT workflows, relational data, and common structured and semi-structured data formats.
• Experience building, testing, and supporting data pipelines or integrations in a team environment.
• Experience automating data acquisition using visual programming or object-oriented modeling workflows.
• Ability to apply data validation and analytical techniques to investigate data quality issues and assess results.
• Ability to choose appropriate 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.

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 performance, scale, and reliability needs.
• Implement data validation, quality checks, monitoring, and documentation for assigned data products.
• Work with mission stakeholders, analysts, and architects to clarify requirements and deliver maintainable solutions.
• Troubleshoot pipeline and integration issues, support production deployments, and raise risks or complex issues to the team.

Skills

Python

R

Scala

JavaScript

C++

Git

ETL/ELT workflows

Data pipelines

API connectors

Data validation

Data modeling

Metadata concepts

Cloud data platforms

AWS

Spark

Hadoop

Hive

Elasticsearch

Tableau

Education

Bachelor's degree

Master's degree

Tools

CI Polygraph

Job description

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Parental leave

Mid-Level Data Engineer

Position Overview

Meridian Systematics is seeking a Data Engineer to support a National Geospatial-Intelligence Agency (NGA) program that delivers GEOINT data across the enterprise. You will design and build the pipelines and integrations that change how analysts, customers, and end users access, discover, stage, link, produce, and deliver intelligence.

You will partner with senior engineers and mission teams to deliver reliable data across cloud and enterprise environments.

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 performance, scale, and reliability needs.
• Implement data validation, quality checks, monitoring, and documentation for assigned data products.
• Work with mission stakeholders, analysts, and architects to clarify requirements and deliver maintainable solutions.
• Troubleshoot pipeline and integration issues, support production deployments, and raise risks or complex issues to the team.

Qualifications

Required:

• Active TS/SCI clearance with CI Polygraph.
• Bachelor's degree with 3–5 years of relevant experience, or a related master's degree with 1–3 years. Degree in computer science, information systems, engineering, mathematics, or a related field; equivalent education and experience may be considered.
• Experience writing readable, tested, and documented code in Python, R, Scala, JavaScript, or C++, using Git.
• Practical experience with ETL/ELT workflows, relational data, and common structured and semi-structured data formats.
• Experience building, testing, and supporting data pipelines or integrations in a team environment.
• Experience automating data acquisition using visual programming or object-oriented modeling workflows.
• Ability to apply data validation and analytical techniques to investigate data quality issues and assess results.
• Ability to choose appropriate 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.

Preferred:

• Experience with geospatial or imagery data.
• AI/ML experience.
• Knowledge of metadata standards.
• Experience with search tools, search results organization, indexing, and how metadata organization affects catalog content.
• Experience with GIS-related applications.