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Data Management Engineer Jobs (NOW HIRING)

LMI

Data Engineer - Clearance Required

Overview LMI is seeking a skilled Data Management Engineer to support Army logistics data management through enterprise data governance, data quality, data modeling, metadata management, and ...

Internova Travel Group

Manager, Data Management

... Management serving as an important part of a broader modern data strategy. You will also be ... Provide leadership and guidance to data engineers and developers in architecture, design ...

LMI

Data Engineer - Clearance Required

Overview LMI is seeking a skilled Data Management Engineer to support Army logistics data management through enterprise data governance, data quality, data modeling, metadata management, and ...

Internova Travel Group

Manager, Data Management

$161K/yr

... Management serving as an important part of a broader modern data strategy. You will also be ... Provide leadership and guidance to data engineers and developers in architecture, design ...

Deloitte

Data Management Project Engineer III

Baltimore, MD · On-site

$113K - $136K/yr

Share this job: Share: Share Data Management Project Engineer III with Facebook Share Data Management Project Engineer III with LinkedIn Share Data Management Project Engineer III with Twitter ...

Alkermes

Director, Data Management

Waltham, MA · On-site

$205K - $230K/yr

Collaborate closely with Biostatistics and Statistical Programming to ensure timely delivery of high-quality datasets through effective data cleaning, query management, SAS listing review, TLF dry ...

Optimal Inc.

Data Management Specialist

Dearborn, MI · On-site

Engineering Data Analytics Specialist - Powertrain Programs. The Engineering Data Analytics Specialist supports Technical Value Management (TVM) initiatives across powertrain engineering ...

New

i3

Data Management Specialist

Huntsville, AL · On-site

You will collaborate with Government customers, data owners, data stewards, developers, data scientists and other data services personnel to accomplish the overall goal of effective data management ...

Astrion

Data Management Specialist

Dahlgren, VA · On-site

$70K - $75K/yr

... engineering records are accurately ingested, meticulously parsed, and securely maintained in ... or data management systems * Qualifying experience in a Windows environment, Microsoft Office ...

Astrion

Data Management Specialist

Dahlgren, VA

$70K - $75K/yr

... engineering records are accurately ingested, meticulously parsed, and securely maintained in ... or data management systems * Qualifying experience in a Windows environment, Microsoft Office ...

Photon

Data Management Lead

Manhattan, NY · On-site

Data Management Job Summary The Data Management Lead is responsible for defining and executing the ... Partner with data engineering, analytics, architecture, and security teams to deliver reliable data ...

Omnicom

Director, Data Management

New York, NY · On-site

Data Engineering TEAM DESCRIPTION The Data Management team provides oversight of the data generated throughout the campaign delivery and performance optimization throughout its lifecycle. They will ...

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Data Management Engineer information

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$44.5K

$129.7K

$177.5K

How much do data management engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data management engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data management engineer?

Data Management Engineers are professionals responsible for designing, implementing, and maintaining systems that manage and organize data within an organization. They ensure data is stored securely, is easily accessible, and meets quality standards. Their work often involves database management, data integration, data migration, and implementing data governance policies. These engineers collaborate with data analysts, data scientists, and IT teams to support business data needs and ensure data reliability.

How does a data management engineer typically interact with data scientists and analysts within an organization?

Data Management Engineers play a critical role in ensuring that data scientists and analysts have access to clean, reliable, and well-organized data. They collaborate closely with these teams to understand data requirements, build data pipelines, and implement data governance protocols. By facilitating efficient data access and resolving data quality issues, Data Management Engineers enable analytical teams to focus on extracting insights rather than handling data wrangling tasks. Regular communication and cross-functional meetings are common, fostering a collaborative environment aimed at maximizing data value across the organization.

What are the key skills and qualifications needed to thrive as a data management engineer, and why are they important?

To thrive as a Data Management Engineer, you need strong expertise in data modeling, database design, and data governance, typically supported by a degree in computer science or a related field. Familiarity with SQL, ETL tools, data warehousing platforms, and certifications like CDMP or AWS Certified Data Analytics are often required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills that set top performers apart. These skills and qualifications ensure data integrity, enable efficient data processing, and support the organization's ability to make data-driven decisions.

What is the difference between Data Management Engineer vs Data Analyst?

AspectData Management EngineerData Analyst
Primary FocusDesigning, implementing, and maintaining data systems and pipelinesAnalyzing data to generate insights and reports
Skills & CertificationsDatabase management, SQL, data warehousing, ETL toolsData visualization, statistical analysis, SQL, Excel
Work EnvironmentData engineering teams, IT departments, cloud platformsBusiness units, marketing, finance teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, sales, finance, business intelligence

While both roles work with data, Data Management Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to support decision-making. They often collaborate but serve different functions within organizations.

Is a data management engineer a high paying job?

Data management engineers typically earn competitive salaries due to their specialized skills in database systems, data architecture, and data governance. Compensation varies based on experience, location, and industry, but the role is generally considered well-paying within the tech and data fields.
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Cities with the most Data Management Engineer job openings:

What are popular job titles related to Data Management Engineer jobs?

For Data Management Engineer jobs, the most frequently searched job titles are:

Data Management Engineer jobs near you
Infographic showing various Data Management Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - Clearance Required

Remote

LMI
See more jobs at LMIexternal

Full-time

Re-posted 28 days ago

Job description

Overview
LMI is seeking a skilled Data Management Engineer to support Army logistics data management through enterprise data governance, data quality, data modeling, metadata management, and executive decision support. Successfully demonstrate competency in project execution, client delivery, critical thinking, and relationship management while upholding the highest standard of ethical behavior.
This position is part of the team supporting the Army HQDA G-4 ELISS program, delivering innovative solutions that enable critical Army logistics and sustainment missions.
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
  • Support Army logistics enterprise data management through data governance, data quality, metadata management, data modeling, and strategic initiatives.
  • Conduct research and analysis to evaluate enterprise data, business processes, data quality, and emerging issues affecting Army logistics operations.
  • Develop and maintain enterprise data models, business rules, metadata, and documentation supporting Army logistics information requirements.
  • Support data governance activities by implementing standards, policies, procedures, and best practices that improve enterprise data management.
  • Analyze, validate, and monitor data quality to identify inconsistencies, recommend corrective actions, and improve data integrity across enterprise systems.
  • Collect, consolidate, validate, and analyze information from multiple enterprise data sources to support executive decision making and organizational priorities.
  • Develop executive-ready briefings, reports, decision papers, presentations, dashboards, and analytical products supporting Army logistics leadership.
  • Coordinate activities and recommendations across multiple Army organizations and stakeholders to improve enterprise data management and governance.
  • Facilitate meetings, working groups, and collaborative planning sessions while documenting decisions and tracking follow-up actions.
  • Support enterprise data stewardship, information management, reporting, and modernization initiatives that improve organizational performance.
  • Develop performance metrics, dashboards, and analytical products to support leadership visibility and informed decision making.
  • Support business development activities, including market research, proposal support, solution development, and client engagement, as required.
  • Perform additional consulting, analytical, and project support activities as assigned.

Qualifications
  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Information Management, Business, Logistics, Engineering, Operations Research, or a related discipline.
  • Three to ten or more years of professional experience supporting Army logistics, enterprise data management, data governance, data quality, data modeling, DoD, or other complex Government organizations.
  • Experience supporting enterprise data governance, metadata management, data modeling, master data management, or data quality initiatives.
  • Strong analytical skills, including proficiency with Microsoft Office Suite and experience using databases, reporting tools, data visualization platforms, and collaboration applications.
  • Demonstrated ability to gather, analyze, validate, and synthesize information from multiple enterprise data sources into concise, actionable recommendations.
  • Excellent written and verbal communication skills, including experience developing executive-level briefings, reports, and presentations.
  • Demonstrated ability to coordinate with multiple stakeholders and work effectively within cross-functional teams.
  • Self-directed, detail oriented, and capable of managing multiple priorities in dynamic environments.
  • Available for occasional travel.
  • This position requires an active Secret security clearance. Applicants must be U.S. citizens.

DESIRED SKILLS
  • Advanced degree in Information Systems, Computer Science, Data Analytics, Information Management, Business, Logistics, Engineering, Operations Research, or a related discipline.
  • More than five years of experience supporting Army logistics enterprise data management, data governance, or other DoD organizations.
  • Experience supporting headquarters-level data governance, enterprise data stewardship, metadata management, data quality improvement, or information management initiatives.
  • Experience developing dashboards, performance metrics, executive reporting, business intelligence products, or data visualization solutions.
  • Familiarity with data governance frameworks, data architecture, business intelligence, workflow modernization, automation, or digital transformation initiatives.
  • Experience facilitating cross-functional working groups and stakeholder engagements.
  • Excellent research, writing, briefing, and staff coordination skills.

#LI-SH1
Target salary range: $101,426 - $174,890. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Job Locations
US-Remote
US-VA-Arlington

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