USAF - Data Engineer

Linthicum Heights Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at cFocus Software. Linthicum Heights · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.

Estimated pay

cFocus Software has not published a salary for this role. The figure below is our estimate, not theirs.

$112,500 – $160,000

What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.

Worked out from 439 postings that stated pay, median $135,000. Last updated Nov 6, 2026.

RoleData Engineering

SeniorityMid-level

LocationLinthicum Heights

EmploymentFull-time

PostedOct 5, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Work with Government stakeholders to clarify approved data needs, source details, integration dependencies and reporting requirements
Build ETL workflows and repeatable pipelines that ingest, clean, standardize and validate data from approved sources
Create and maintain data warehouses, lakes, structures and integrations that follow approved architecture and models
Track data quality, metadata, source mappings and lineage, then investigate problems and document corrective steps
Develop and test APIs, queries and datasets, and monitor pipeline health while maintaining technical documentation

What you bring

An active TS/SCI clearance is required for this role
A bachelor's degree in computer science, information technology or a related field
Hands-on experience building data pipelines, ETL processes and enterprise integrations, with SQL and data-ingestion scripting

Who this fits

This mid-level, full-time role is suited to someone who can build and operate data pipelines, warehouse or lake capabilities, and data-sharing interfaces. You’ll work on-site in Linthicum Heights, Maryland, and need an active TS/SCI clearance.

From the employer

cFocus Software seeks a Data Engineer to join our program supporting the United States Air Force (USAF). This position is on-site in Linthicum Heights, MD. This position requires an Active TS/SCI clearance.
Qualifications:

Active TS/SCI clearance
B.S. Computer Science, Information Technology, or a related field
Experience developing data pipelines, ETL processes, and enterprise data integration solutions.
Proficiency in SQL and programming or scripting used to ingest, transform, and validate data.
Experience with data modeling, warehouses or lakes, and analytical query development.
Ability to implement data quality checks, metadata practices, and traceable source-to-target mappings.
Experience developing or integrating APIs and troubleshooting data-sharing interfaces.
Experience with automated deployment, source control, configuration management, and testing.
Understanding of data governance, access controls, and secure handling of mission information.
Ability to monitor pipeline performance, resolve failures, and maintain clear technical documentation

Duties:

Gather and analyze approved data requirements, source characteristics, integration dependencies, and reporting needs with Government stakeholders.
Assess existing infrastructure and data sources; maintain inventories and identify capability, accessibility, and data quality gaps.
Design and implement Extract, Transform and Load (ETL) processes, data structures, and integration workflows under approved business intelligence architecture.
Build, configure, and maintain data warehouse and data lake capabilities in accordance with Government-approved designs and data models.
Develop repeatable ingestion and transformation pipelines to clean, standardize, validate, and prepare data from approved sources.
Implement data quality monitoring and remediation processes; investigate incomplete, inconsistent, duplicate, or invalid data and report corrective actions.
Implement and maintain data tagging and metadata management in accordance with approved standards; document source mappings and transformation lineage.
Develop, document, test, and maintain Application Programming Interfaces (APIs) and data-sharing interfaces under approved requirements and interagency agreements.
Optimize authorized data exchange processes and analytical queries; coordinate interoperability and interface changes with mission partners and technical teams.
Develop queries and datasets supporting reports, interactive dashboards, and Government-approved KPIs, including permitted fusion of external agency data.
Prepare approved training datasets and support data cleaning, transformation, and feature engineering in collaboration with data scientists.
Implement data security and access controls through DevSecOps practices consistent with approved system security plans and authorization boundaries.
Use automated pipelines, version control, and configuration management for data platform changes; test before Government review and authorized production deployment.
Monitor pipeline and business intelligence environment health and performance; investigate failures, maintain alerts, and provide operational status reports.
Maintain technical designs, data dictionaries, interface specifications, procedures, and as-built documentation; support approved governance improvements and user training.