
Data Engineer - Secret Clearance
Arlington, VAJobSeen 1w agoSeen in employer's feed today
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near Arlington, VA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
Zantech seeks a Data Engineer for an on-site technical infrastructure and platform support project in Arlington, Virginia. The role implements established data architecture by integrating sources, cleansing and validating data, and resolving pipeline failures in AWS GovCloud. It supports automated pipelines across multiple data sources and data volumes, with required experience in cloud ETL/ELT, Python, SQL, and an active Secret clearance.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Are you looking for your next challenge? Are you ready to work with a performance-based small company?
At Zantech, we are a dynamic Small Business focused on providing complex, mission focused solutions with a proven track record of outstanding customer performance and high employee satisfaction. We are looking for you; someone who strives to support a strong team and to deliver “Outstanding Performance…. Always!”. If so, we would love to talk with you regarding that next step in your career.
At Zantech, we apply state-of-the-art technology to solve our Federal Clients' most mission-critical challenges. We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech offers a competitive compensation, benefits and vacation package as well as providing you with a fast paced and exciting work environment. Come join our team!
Zantech is looking for a talented Data Engineer to contribute to the success of our Technical Infrastructure and Platform Support project for an On-Site role based out of Arlington, VA.
The Data Scientist owns the day-to-day health of the automated data pipelines that feed the Data and Analytics Platform from internal Navy systems and external sources. The Data Engineer implements the established data architecture by integrating new data sources, performing data cleansing and quality assurance, and resolving pipeline failures within an AWS GovCloud environment.
Responsibilities include, but will not be limited to:
-
Maintain, monitor, and optimize automated ETL/ELT pipelines covering 10 to 20 data sources and 1 to 20+ TB of data, with ongoing growth of 1+ TB per year.
-
Build and modify pipelines using AWS Glue, Step Functions, Lake Formation, Athena, and RDS.
-
Write modular, parameterized pipeline code so that data structures and refresh frequencies can change without rebuilding the core pipeline architecture.
-
Support three ingestion velocities: scheduled batch processing, time-based interval micro-batches, and user-triggered on-demand refreshes for time-sensitive financial submissions.
-
Ingest and export data in open, non-proprietary formats (Parquet, CSV, JSON).
-
Perform data cleansing, validation, and quality assurance as new sources are integrated.
-
Serve as a primary resolver for Tier 3 tickets involving pipeline failures, refresh errors, and database performance issues.
-
Implement Row-Level and Column-Level Security controls at the data layer in coordination with the Data Architect.
-
Document pipeline configurations, data lineage, and operating procedures.
Required Experience or Knowledge of the following technologies/functions:
-
Active Secret security clearance.
-
Demonstrated experience building and maintaining ETL/ELT pipelines in a cloud environment.
-
Proficiency in Python and SQL.
-
Experience with data cleansing, data quality validation, and integrating structured and unstructured data from multiple sources.
-
DoDM 8140.03 qualifying certification (e.g., CompTIA Security+ CE) prior to start.
Preferred Qualifications:
-
Hands-on experience with AWS Glue, Step Functions, Lake Formation, Athena, and RDS.
-
Experience with Infrastructure as Code (Terraform or CloudFormation) applied to data pipelines.
-
Experience in AWS GovCloud or DoD IL4/IL5 environments.
-
Familiarity with Advana/Jupiter, Qlik, or Power BI data sources.
-
AWS certification (e.g., AWS Certified Data Engineer - Associate).
-
Experience supporting federal financial or acquisition data.
Required Security Clearance:
- Active DoD Secret or higher clearance, per contract requirements.
“Outstanding Performance…Always!”
Our corporate motto represents our commitment to build long-term relationships with both our clients and our employees by providing the highest quality service in everything we do. We strive for excellence for our clients and for each other. We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech offers competitive compensation, strong benefits, and a vacation package, as well as a fast-paced and exciting work environment.Come join our team!
How this job compares
Set against the 6,256 open Data Engineer jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This postingNot listed
- Virginia median$120–196K/yr357 salary ranges
- US median$60–73/hr271 hourly ranges
- Openings
- Olive Jobs lists 456 open Data Engineer jobs in Virginia and 6,256 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Virginia
- Deloitte103 open
- Capital One39 open
- Accenture26 open
- Experience
- Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,480 postings).
- Education
- 2,407 of the 6,256 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.




