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.
Lead Data Engineer
- Pay
USD 170,000–190,000/yearLocation-specific pay — pay source
Salary 170,000 – 190,000 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
Remote — work setting source
- Employment
- Not stated
Before you apply
- Work authorization
- US citizens only
Must be a US Citizen with a current, active US Government Secret clearance
What you’ll work on
Full postingRedhorse transforms the way government uses data and technology.
What you’ll bring
All qualificationsPreferred experience
- Hands-on experience with Apache Spark and distributed computing frameworks.
- Familiarity with modern agile and DevOps tools such as GitLab Jira.
- Experience working with DoD, defense, or intelligence community data environments and compliance standards.
- Knowledge of data governance, metadata management, and data cataloging frameworks.
Qualification wording
Hands-on experience with Apache Spark and distributed computing frameworks.
Familiarity with modern agile and DevOps tools such as GitLab Jira.
Experience working with DoD, defense, or intelligence community data environments and compliance standards.
Knowledge of data governance, metadata management, and data cataloging frameworks.
Education & alternatives
- Knowledge of data governance, metadata management, and data cataloging frameworks. - Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline. Salary
About Redhorsecorp
Now is a great time to join Redhorse Corporation.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202612 days ago
- Recorded sightings
- 14
- 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 12
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
- SQL
- Databricks
- Spark
- PySpark
Where the posting names them
Key Responsibilities - Technical Leadership & Task Oversight: Provide day-to-day task prioritization and technical direction to team members; lead code reviews, ensure design best practices, and mentor engineers in modular Python development and SQL optimization. - Requirements Development & Architecture: Work directly with government stakeholders to elicit, refine, and translate complex mission requirements into robust technical specifications, interface designs, and scalable data models.
- Requirements Development & Architecture: Work directly with government stakeholders to elicit, refine, and translate complex mission requirements into robust technical specifications, interface designs, and scalable data models. - Pipeline & Platform Development: Architect, develop, and optimize high-throughput ETL/ELT workflows using Databricks; maintain, refactor, and enhance existing Python and SQL codebases for performance, stability, and security. - Pipeline Diagnostics & Troubleshooting: Identify pipeline bottlenecks, debug complex data workflows, and implement automated solutions to enhance pipeline reliability and data integrity.
- Databricks: Proven, hands-on experience designing and optimizing data transformation workflows in Databricks. - Python/PySpark & SQL: Advanced skills in modular, object-oriented Python/PySpark scripting and extensive experience writing, tuning, and optimizing complex SQL queries. - Data Visualization: Proven experience building functional, user-centric reports and dashboards using modern data visualization tools.
- Technical Guidance: Demonstrated experience providing technical mentorship, performing code reviews, and providing day-to-day technical task oversight to other engineers. - Databricks: Proven, hands-on experience designing and optimizing data transformation workflows in Databricks. - Python/PySpark & SQL: Advanced skills in modular, object-oriented Python/PySpark scripting and extensive experience writing, tuning, and optimizing complex SQL queries.
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 with Apache Spark and distributed computing frameworks. - Familiarity with modern agile and DevOps tools such as GitLab Jira.
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 transforms the way government uses data and technology. To support this mission, we are seeking a Senior Data Engineer / Lead to join our team supporting the US National Defense Strategy. In this role, you will play a vital role in translating complex defense requirements into scalable data pipelines and actionable insights, directly contributing to the modernization of critical defense systems.
Key Responsibilities
- Technical Leadership & Task Oversight: Provide day-to-day task prioritization and technical direction to team members; lead code reviews, ensure design best practices, and mentor engineers in modular Python development and SQL optimization.
- Requirements Development & Architecture: Work directly with government stakeholders to elicit, refine, and translate complex mission requirements into robust technical specifications, interface designs, and scalable data models.
- Pipeline & Platform Development: Architect, develop, and optimize high-throughput ETL/ELT workflows using Databricks; maintain, refactor, and enhance existing Python and SQL codebases for performance, stability, and security.
- Pipeline Diagnostics & Troubleshooting: Identify pipeline bottlenecks, debug complex data workflows, and implement automated solutions to enhance pipeline reliability and data integrity.
- Cross-Functional Collaboration: Partner closely with government product owners, data scientists, Data Analysts, and technical peers to document architecture, coordinate technical sprints, and communicate engineering trade-offs to technical and non-technical audiences.
- Technical Documentation: Develop new and maintain existing pipeline architecture documentation relating to pipeline code architecture and configurations to ensure high system reliability and seamless team onboarding.
Required Experience/Clearance
- Security Clearance: Must be a U.S. Citizen with a current, active U.S. Government Secret clearance. (Applicants without an active Secret clearance cannot be considered).
- Experience Level: Minimum of 8+ years of professional experience in data engineering, building enterprise-scale data platforms and pipelines.
- Technical Guidance: Demonstrated experience providing technical mentorship, performing code reviews, and providing day-to-day technical task oversight to other engineers.
- Databricks: Proven, hands-on experience designing and optimizing data transformation workflows in Databricks.
- Python/PySpark & SQL: Advanced skills in modular, object-oriented Python/PySpark scripting and extensive experience writing, tuning, and optimizing complex SQL queries.
- Data Visualization: Proven experience building functional, user-centric reports and dashboards using modern data visualization tools.
Desired Experience
- Hands-on experience with Apache Spark and distributed computing frameworks.
- Familiarity with modern agile and DevOps tools such as GitLab Jira.
- Experience working with DoD, defense, or intelligence community data environments and compliance standards.
- Knowledge of data governance, metadata management, and data cataloging frameworks.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:
Salary
170,000 – 190,000 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
Pipeline
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 170,000 – 190,000 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
Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Required Experience/Clearance - Security Clearance: Must be a U.S. Citizen with a current, active U.S. Government Secret clearance. (Applicants without an active Secret clearance cannot be considered). - Experience Level: Minimum of 8+ years of professional experience in data engineering, building enterprise-scale data platforms and pipelines.
More source context
170,000 – 190,000 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.