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Careers›Roles›Data Management Engineer
Mid-Level

Data Management Engineer

An organization's data has to be stored, organized, and governed so it stays reliable and usable, and that's your domain: building and running the systems that manage it. Engineering order into an organization's data.

Career Level
Junior
Mid
Senior
Director
VP
Executive
Work Personality
C
I
E
R
S
A
Conventionalorganizing, detail-oriented
Investigativeanalytical, curious
Based on Holland Code framework
Industries that often hire Data Management Engineers
Professional Services · 38%Financial Services · 15%Technology & Information · 13%Administrative Services · 6%Wholesale & Distribution · 5%Healthcare · 3%
Job markets for Data Management Engineers
Where Data Management Engineer jobs concentrate · ~126 metro areas
Based on employment in related occupations
Mapped SOC categories:
Engineering
BLS Occupational Employment Statistics
Jump to:What it's likeCareer pathsBy the numbers
What it's like

What it's like to be a Data Management Engineer

Work mixes designing data systems, building pipelines and storage, and setting up governance and quality controls, with technical and business teams. Reliable, well-organized data is the goal, since everyone downstream depends on it, and a lot of the job is preventing the mess before it spreads through the organization later.

What surprises people is how much is governance and cleanup, not building: quality, access, and consistency eat the day. Tools and platforms churn fast, scale brings real complexity, and the work is invisible until data is wrong. Scope varies from pipelines to full data platforms and strategy.

It fits someone organized, systems-minded, and comfortable with scale and ambiguity. If you want flashy, visible work, this runs behind the scenes. But if there's satisfaction in building the foundation a whole organization's decisions rest on, the role tends to be quietly essential, system by system.

What people in this role value
AchievementHigh
Working ConditionsAbove avg
IndependenceAbove avg
RecognitionModerate
SupportModerate
RelationshipsLower
O*NET Work Values survey
✦ Editorial — written by Truest from industry research and career patterns

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Career Paths

Where this role sits in the broader career landscape — and where it can take you.

Earning potential across this track
$239K$179K$119K$60K$0KLower paying387 metro areas, sorted by salary level
All experience levels1
This level's estimated range
INDUSTRIES PAYING ABOVE AVERAGE
Technology & Information$117K+15%
Professional Services$103K+1%
Energy & Utilities$87K-14%
Financial Services$86K-16%
Wholesale & Distribution$74K-28%
Compared to Engineering average across all industries
1 BLS OEWS May 2024 covers all Data Management Engineers (SOC 15-1243.01), not just this title · BEA RPP 2023
* Top salaries exceed this figure. BLS caps reported wages at ~$240K to protect individual privacy in high-earning roles.
Related rolesExplore Engineering →
Data Management EngineerData AnalystAutomatic Data Processing Planner (ADP Planner)Data ModelerData ArchitectData Storage SpecialistData MinerData Recovery PlannerData Management IT Specialist (Data Management Information Technology Specialist)Data Administrator (Data Admin)Database Management System Specialist (DBMS Specialist)Data OfficerBig Data ArchitectData Modeling SpecialistEnterprise Data ArchitectData Integration SpecialistData Quality AnalystData SpecialistData Management ManagerBig Data EngineerData Warehouse EngineerResearch Data SpecialistData Integrity SpecialistData Migration SpecialistData Management Specialist+1 more

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✦ Editorial — career progression and interview guidance based on industry patterns
The Broader Landscape

Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.

$82K–$210K
Salary Range
10th – 90th percentile
65K
U.S. Employment
+8.7%
10yr Growth
4K
Annual Openings

How Data Management Engineer pay & employment are changing

$77K$74K$71K$68K$65K201920202021202220232024$65K$77K
BLS OEWS May 2024 · BLS Employment Projections 2024–2034

Skills & Requirements

Reading ComprehensionCritical ThinkingProgrammingComplex Problem SolvingActive ListeningSystems AnalysisSpeakingJudgment and Decision MakingWritingSystems Evaluation
O*NET OnLine · Bureau of Labor Statistics
Mapped SOC Codes
15-1243.01

Explore related roles

Roles with similar work and overlapping career paths

directorData Engineering Director$168KmidData Analyst$92KmidAutomatic Data Processing Planner (ADP Planner)$104KmidData Modeler$114KmidData Architect$124KmidData Storage Specialist$126K
View all Engineering roles →

Common questions about what it's like to be a Data Management Engineer

What does a Data Management Engineer do?

An organization's data has to be stored, organized, and governed so it stays reliable and usable, and that's your domain: building and running the systems that manage it. Engineering order into an organization's data.

How much does a Data Management Engineer make?

Median pay for a Data Management Engineer is about $136K nationally, with the field ranging roughly from $82K to $210K depending on experience, employer, and metro (BLS).

What skills does a Data Management Engineer need?

Core skills for this role include Reading Comprehension, Critical Thinking, Programming, Complex Problem Solving, and Active Listening.

What education do you need to be a Data Management Engineer?

Most people in this role hold a bachelor's degree.

Is a Data Management Engineer in demand?

Employment in this field is projected to grow about 8.7% through 2034, with roughly 64,770 people working in it today (BLS).

What jobs are similar to a Data Management Engineer?

Closely related roles include Data Engineering Director, Data Analyst, and Automatic Data Processing Planner (ADP Planner).

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Federal data: BLS Occupational Employment & Wage Statistics (May 2024) · BLS Employment Projections · O*NET OnLine
Truest editorial: Fit check, role profile, things that vary, advancement analysis, lateral moves, interview questions.

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