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Staff Data Engineer - Clearance Required

Pay
$130,000–200,000/yearAnnual period assumed — pay source
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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Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Citizens onlyActive Secret clearance

What you’ll work on

Full posting
  • 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 8+ years building production data systems
  • Active Secret clearance
  • Experience designing data pipelines and products on Palantir Foundry or a comparable platform
  • Strong proficiency with Python, SQL, and modern data-engineering patterns
  • Experience supporting a Department of War customer

Preferred experience

  • 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.
Qualification wording
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.
Education & alternatives
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.
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Posting record

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Status in our records
Live
First seen by us
Oct 15, 202629 days ago
Recorded sightings
55
Last seen by us
Nov 13, 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

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.

Time since we first saw it

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.

LMI is hiring

33 open jobs

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

  • Data Engineer hiring is steady
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
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
  • SAP
  • PySpark
Where the posting names them
- 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.

Your next step

Complete your application on careers-lmi.icims.com. The employer’s form will show what is required.

Applying through iCIMS

  • You start with your email. New applicants then create a login, and returning ones sign in.
  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

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 860, the most 1,354, and the latest week had 1,335.
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 ↗

Overview

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.

Responsibilities

  • 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.

Qualifications

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.

  • 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.

Desired Qualifications

  • 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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Job Locations

US-VA-Arlington
Source details

View original posting ↗

Source notes

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Pay
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.
Location & working pattern

Arlington, VA

Working pattern and location restrictions need checking in the full posting.

Work authorization
- 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

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