Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Mid Level Data Engineer
Arlington, VA
Live, first seen by us 63 days ago- Pay
USD 145,000–165,000/yearLocation-specific pay — pay source
Salary 145,000 – 165,000 USD per year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Read the full posting- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
US citizenship with an active Department of War (DoW) Top Secret (TS) security clearance and access to Sensitive Compartmented Information (SCI)
What you’ll work on
Full postingRedhorse is transforming how the Department of Defense (DoD) utilizes data and technology.
Ingest and transform structured, semi-structured, and unstructured datasets
Build, automate, and maintain scalable ETL/ELT pipelines
Maintain pipeline operations and automate performance and cost optimization
Troubleshoot pipeline bottlenecks and optimize database structures
Implement and automate DoD STIGs across data systems
From the employer’s posting
Redhorse is transforming how the Department of Defense (DoD) utilizes data and technology. We are seeking a proactive Mid-Level Data Engineer to join our team supporting the Office of the Under Secretary of Defense for Acquisition & Sustainment (OUSD(A&S)). In this role, you will play a key part in advancing data-driven decision-making across the DoD by developing and optimizing robust data pipelines and analytics solutions that support critical national security initiatives. This position offers exceptional visibility and hands-on growth working within enterprise defense data environments.
Ingest, configure, and transform structured, semi-structured, and unstructured datasets
Build, automate, and maintain scalable ETL/ELT pipelines
Maintain data pipeline operations, monitor environment health, and implement automated performance optimization and cost-reduction practices.
troubleshoot pipeline bottlenecks, optimize database structures
Implement and automate DoD Security Technical Implementation Guides (STIGs) across data systems
What you’ll bring
All qualificationsPreferred experience
- Hands-on experience developing data workflows using Databricks (e.g., Delta Lake, Lakehouse architecture, PySpark).
- Experience integrating data pipelines with business intelligence and data visualization platforms, particularly Qlik (Qlik Sense or QlikView).
- Experience working within the DoD Advana Data Environment.
- Familiarity with deploying and engineering data pipelines across classified networks and multiple security domains.
Qualification wording
Hands-on experience developing data workflows using Databricks (e.g., Delta Lake, Lakehouse architecture, PySpark).
Experience integrating data pipelines with business intelligence and data visualization platforms, particularly Qlik (Qlik Sense or QlikView).
Experience working within the DoD Advana Data Environment.
Familiarity with deploying and engineering data pipelines across classified networks and multiple security domains.
Education & alternatives
- US citizenship with an active Department of War (DoW) Top Secret (TS) security clearance and access to Sensitive Compartmented Information (SCI). - Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related STEM field with 3+ years of data engineering experience (or Master’s degree with 2+ years of experience). - Demonstrated experience developing ETL/ELT pipelines and processing large-scale data using big data frameworks such as Apache Spark.
About Redhorsecorp
Now is a great time to join Redhorse Corporation.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 1, 202663 days ago
- Recorded sightings
- 35
- Last seen by us
- Nov 4, 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
Time since we first saw it
Day 63
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
Redhorsecorp is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
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
- Scala
- SQL
- AWS
- Azure
- Databricks
- Delta Lake
- Spark
- PySpark
Where the posting names them
- Practical experience working within cloud environments (e.g., AWS, Microsoft Azure, or MilCloud 2.0). - Proficiency in core data engineering programming and querying languages (e.g., Python, SQL, or Scala). - Familiarity with database architectures, data modeling, and automated configuration management.
- Demonstrated experience developing ETL/ELT pipelines and processing large-scale data using big data frameworks such as Apache Spark. - Practical experience working within cloud environments (e.g., AWS, Microsoft Azure, or MilCloud 2.0). - Proficiency in core data engineering programming and querying languages (e.g., Python, SQL, or Scala).
We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience: - Hands-on experience developing data workflows using Databricks (e.g., Delta Lake, Lakehouse architecture, PySpark). - Experience integrating data pipelines with business intelligence and data visualization platforms, particularly Qlik (Qlik Sense or QlikView).
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related STEM field with 3+ years of data engineering experience (or Master’s degree with 2+ years of experience). - Demonstrated experience developing ETL/ELT pipelines and processing large-scale data using big data frameworks such as Apache Spark. - Practical experience working within cloud environments (e.g., AWS, Microsoft Azure, or MilCloud 2.0).
Your next step
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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
About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
About the Role
Redhorse is transforming how the Department of Defense (DoD) utilizes data and technology. We are seeking a proactive Mid-Level Data Engineer to join our team supporting the Office of the Under Secretary of Defense for Acquisition & Sustainment (OUSD(A&S)). In this role, you will play a key part in advancing data-driven decision-making across the DoD by developing and optimizing robust data pipelines and analytics solutions that support critical national security initiatives. This position offers exceptional visibility and hands-on growth working within enterprise defense data environments.
Key Responsibilities
- Ingest, configure, and transform structured, semi-structured, and unstructured datasets to meet mission partner and stakeholder requirements.
- Build, automate, and maintain scalable ETL/ELT pipelines supporting DevOps and rapid analytics delivery.
- Maintain data pipeline operations, monitor environment health, and implement automated performance optimization and cost-reduction practices.
- Work under general guidance to prototype new data capabilities, evaluate emerging technologies, and deploy end-to-end data solutions.
- Collaborate with cross-functional technical teams to troubleshoot pipeline bottlenecks, optimize database structures, and implement secure data retrieval methods.
- Implement and automate DoD Security Technical Implementation Guides (STIGs) across data systems to ensure strict compliance and system security.
Required Experience/Clearance
- US citizenship with an active Department of War (DoW) Top Secret (TS) security clearance and access to Sensitive Compartmented Information (SCI).
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related STEM field with 3+ years of data engineering experience (or Master’s degree with 2+ years of experience).
- Demonstrated experience developing ETL/ELT pipelines and processing large-scale data using big data frameworks such as Apache Spark.
- Practical experience working within cloud environments (e.g., AWS, Microsoft Azure, or MilCloud 2.0).
- Proficiency in core data engineering programming and querying languages (e.g., Python, SQL, or Scala).
- Familiarity with database architectures, data modeling, and automated configuration management.
- Familiarity with applying and maintaining DoD Security Technical Implementation Guides (STIGs).
Desired Experience
- Hands-on experience developing data workflows using Databricks (e.g., Delta Lake, Lakehouse architecture, PySpark).
- Experience integrating data pipelines with business intelligence and data visualization platforms, particularly Qlik (Qlik Sense or QlikView).
- Experience working within the DoD Advana Data Environment.
- Familiarity with deploying and engineering data pipelines across classified networks and multiple security domains.
- Experience with CI/CD tools and version control systems such as GitLab, Jira, or Jenkins.
- Active Top Secret (TS) clearance with Sensitive Compartmented Information (SCI) eligibility.
We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:
Salary
145,000 – 165,000 USD per year
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 145,000 – 165,000 USD per year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
- Location & working pattern
Arlington, VA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Required Experience/Clearance - US citizenship with an active Department of War (DoW) Top Secret (TS) security clearance and access to Sensitive Compartmented Information (SCI). - Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related STEM field with 3+ years of data engineering experience (or Master’s degree with 2+ years of experience).
More source context
145,000 – 165,000 USD per year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable. Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.