Pay
In line with similar jobs
$130K–$200K against $127K–$190K, the middle half of what similar US postings state.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Arlington, VA
Live, first seen by us 29 days agoApplicants must meet eligibility requirements for a U.S. Government security clearance. Only U.S. citizens are eligible for a security clearance. For this position, LMI will consider only applicants who currently hold a security clearance. Target salary range: $130,000-$200,000 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.Read the full posting
Active Secret clearance
Own architecture and implementation of scalable data pipelines and data products
Integrate and transform data from multiple Army and enterprise sources
Develop data models and ontology for modernization, reporting, and analysis
Establish engineering standards for testing, source control, deployment, and operations
Review technical designs and mentor engineers
Own the architecture and implementation of scalable data pipelines and data products.
Integrate and transform data from multiple Army and enterprise sources.
Develop data models and ontology that support application modernization, reporting, and analysis.
Establish engineering standards for testing, source control, deployment, and operations.
Review technical designs, mentor engineers, and resolve complex data challenges.
Eight or more years of experience building production data systems.
Active Secret clearance.
Experience designing data pipelines and products on Palantir Foundry or a comparable enterprise data platform.
Strong proficiency with Python, SQL, and modern data-engineering patterns.
Experience supporting a Department of War customer.
Experience supporting the U.S. Army.
Experience with PySpark or other distributed data-processing technologies.
Familiarity with Army ERPs and SAP-based systems.
Experience with cloud platforms, DevSecOps, and infrastructure as code.
Require Qualifications - Bachelor’s degree in computer science, engineering, information systems, data science, or a related field, or equivalent practical experience. - Eight or more years of experience building production data systems.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$130K–$200K against $127K–$190K, the middle half of what similar US postings state.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Day 29
Similar jobs usually come down between day 6 and day 56.
At LMI, jobs usually come down by about day 39.
From 13,541 similar postings that came down, and 52 of LMI’s. Coming down is not always a hire.
33 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Eight or more years of experience building production data systems. - Strong proficiency with Python, SQL, and modern data-engineering patterns. - Experience designing data pipelines and products on Palantir Foundry or a comparable enterprise data platform.
- Experience with PySpark or other distributed data-processing technologies. - Familiarity with Army ERPs and SAP-based systems. - Experience with cloud platforms, DevSecOps, and infrastructure as code.
- Direct experience with Army Vantage. - Experience with PySpark or other distributed data-processing technologies. - Familiarity with Army ERPs and SAP-based systems.
Complete your application on careers-lmi.icims.com. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
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.
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.
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.
LMI is seeking a Staff Data Engineer to build authoritative data products supporting Army logistics operations. This engineer will own the development and sustainment of data pipelines, models, and ontology within Palantir Foundry.
This is a senior individual-contributor role for an engineer who can make architectural decisions, build production systems, and raise the technical standard of the team.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Own the architecture and implementation of scalable data pipelines and data products.
Integrate and transform data from multiple Army and enterprise sources.
Develop data models and ontology that support application modernization, reporting, and analysis.
Design for data quality, lineage, security, observability, and long-term maintainability.
Establish engineering standards for testing, source control, deployment, and operations.
Partner with software engineers, product designers, and customer stakeholders.
Review technical designs, mentor engineers, and resolve complex data challenges.
Bachelor’s degree in computer science, engineering, information systems, data science, or a related field, or equivalent practical experience.
Eight or more years of experience building production data systems.
Strong proficiency with Python, SQL, and modern data-engineering patterns.
Experience designing data pipelines and products on Palantir Foundry or a comparable enterprise data platform.
Experience with data modeling, ontology, data quality, and lineage.
Strong software-engineering fundamentals, including testing, source control, CI/CD, and monitoring.
Experience supporting a Department of War customer.
Active Secret clearance.
Experience supporting the U.S. Army.
Direct experience with Army Vantage.
Experience with PySpark or other distributed data-processing technologies.
Familiarity with Army ERPs and SAP-based systems.
Experience with cloud platforms, DevSecOps, and infrastructure as code.
Familiarity with API design and development, backend services, and service orchestration.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only U.S. citizens are eligible for a security clearance. For this position, LMI will consider only applicants who currently hold a security clearance.
Target salary range: $130,000-$200,000
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
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Selected passages from the saved posting. Check the full description for conditions and exceptions.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only U.S. citizens are eligible for a security clearance. For this position, LMI will consider only applicants who currently hold a security clearance. Target salary range: $130,000-$200,000 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Arlington, VA
Working pattern and location restrictions need checking in the full posting.
- Familiarity with API design and development, backend services, and service orchestration. Applicants must meet eligibility requirements for a U.S. Government security clearance. Only U.S. citizens are eligible for a security clearance. For this position, LMI will consider only applicants who currently hold a security clearance. Target salary range: $130,000-$200,000