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Data Engineer - Secret Clearance

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting

Before you apply

Work authorization
Citizens onlyActive Secret security clearance

What you’ll work on

Full posting
  • Maintain, monitor, and optimize ETL/ELT pipelines for 10 to 20 data sources

  • Build and modify pipelines using AWS Glue, Step Functions, Lake Formation, Athena, and RDS

  • Perform data cleansing, validation, and quality assurance as new sources are added

  • Serve as primary resolver for Tier 3 pipeline failures, refresh errors, and database issues

  • Implement Row-Level and Column-Level Security controls at the data layer

From the employer’s posting
Maintain, monitor, and optimize automated ETL/ELT pipelines covering 10 to 20 data sources
Build and modify pipelines using AWS Glue, Step Functions, Lake Formation, Athena, and RDS.
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.

What you’ll bring

All qualifications

Preferred experience

  • 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.
Qualification wording
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.
Apply at Zantech

Posting record

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Status in our records
Live
First seen by us
Oct 28, 202614 days ago
Recorded sightings
13
Last seen by us
Nov 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,229 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 14

Similar jobs usually come down between day 6 and day 55.

From 13,018 similar postings that came down. Coming down is not always a hire.

Zantech is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Power BI
  • Terraform
Where the posting names them
- 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.
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.
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 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.
- 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.
- 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).
- 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.

Your next step

Complete your application on zantech-it.breezy.hr. The employer’s form will show what is required.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,323, and the latest week had 1,323.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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!

Source details

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Pay

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Location & working pattern

Arlington, VA

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.
Work authorization
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.
More source context
- Experience supporting federal financial or acquisition data. Required Security Clearance: - Active DoD Secret or higher clearance, per contract requirements.

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