ZipRecruiter

Log In

1

Data Management Engineer Jobs (NOW HIRING)

Deloitte

Data Engineer | TS/SCI Required

Tampa, FL

$108K - $129K/yr

Work you'll do As a Project - Data Management Engineer III on the AI & Engineering team, you will be responsible for: Supporting the build-out of an in-production unclassified system operating on a ...

DCS CORPORATION

Data Management Specialist

Ridgecrest, CA · On-site

$70K - $80K/yr

Setting up Azure DevOps as the data management tracking tool. Transferring documents and data to the Azure DevOps environment. Configuring project-level settings, security groups, and policies as an ...

DCS Corp

Data Management Specialist

Ridgecrest, CA

$70K - $80K/yr

Setting up Azure DevOps as the data management tracking tool. Transferring documents and data to the Azure DevOps environment. Configuring project-level settings, security groups, and policies as an ...

FedEx Logistics

Data Management Analyst

Memphis, TN · On-site

Responsible for data analysis, data management for the Engineering Decision Support department. Interfaces and coordinates with counterparts in multiple operating companies to obtain required input ...

HUB

Information Management Engineer

Chicago, IL

HUB International is seeking an Information Management Engineer, on our Enterprise Data & Analytics team. The Information Management Engineer, will primarily be responsible for the metadata ...

Tranzeal, Inc.

Sr. CRM Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Sr. CRM Engineer * W2 Only role. * Candidates must be authorized to work in the United States ... Strong understanding of security, compliance, and customer data management. * Salesforce or ...

next page

Showing results 1-20

All JobsData Management Engineer Jobs

Data Management Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data management engineer jobs pay per year?

As of Jun 19, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data management, but data engineers are essential for designing, building, and maintaining data pipelines and infrastructure. Their expertise in data architecture, coding, and tools like SQL and cloud platforms remains critical, as AI tools typically support rather than replace these roles.

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 engineers make $500,000?

Senior engineers in fields such as software, data, and electrical engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in technology companies or executive positions.

What are Data Management Engineers?

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.

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.

What does a data management engineer do?

A data management engineer designs, implements, and maintains systems for storing, organizing, and processing large volumes of data. They work with database technologies, data pipelines, and tools like SQL and cloud platforms to ensure data quality, security, and accessibility for analysis and decision-making.

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.

Are data engineers highly paid?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but they are generally among the better-paid roles in the tech field.
More about Data Management Engineer jobs
What cities are hiring for Data Management Engineer jobs? Cities with the most Data Management Engineer job openings:
What states have the most Data Management Engineer jobs? States with the most job openings for Data Management Engineer jobs include:
What job categories do people searching Data Management Engineer jobs look for? The top searched job categories for Data Management Engineer jobs are:
Data Management Engineer jobs near you
Infographic showing various Data Management Engineer job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Sr. Product Data Management Engineer (CM/TI) with Security Clearance

22nd Century Technologies, Inc.

Albuquerque, NM

$79/hr

Contractor

Posted 3 days ago

Job description

Job Details:
Title: Product Data Management Engineer 4- Configuration & Data Management/Technical Integration Location: Albuquerque, NM 87109
Position Type: 12 months Contract (Possibility for extension)
Shifts Schedule: 7:00 AM - 3:30 PM Pay Rate: $79/Hour on W2 without Benefits
Requested Security Clearance: Top Secret Job Description: Seeking a Lead or Senior Product Data Management Engineer (Configuration & Data Management) to support the Systems Engineering Integration & Test (SEIT) and Mission Systems teams on a DOD propriety program in Albuquerque, NM. The successful candidate will be responsible for overseeing the implementation of overall Configuration/Data Management (CM/DM) on the program as well as leading the development, management and compliance verification of process and product baseline of highly integrated complex products. Our team is currently hiring for a broad range of experience levels including lead and senior level engineers. Position Responsibilities:
• Leads the implementation of Configuration and Data Management standards, processes, systems and tools.
• Defines and allocates Configuration and Data Management requirements for product hardware, software and engineering design data systems throughout the product lifecycle.
• Assures the integration of product elements; analyzes and resolves complex issues with engineering product structure.
• Assigns and maintain product and document identification.
• Supports change boards and documentation requests efforts such as Engineering Change Proposals (ECP), Requests for Variance (RFV), Engineering Review Boards (ERB), Change Documents/Change Requests (CD/CRs), program Change Control Boards (CCB), perform configuration audits, generate configuration status reports, and others.
• Collaborates with and advises fellow configuration management engineers on configuration management principles and job practices.
• Coordinates across the program to assure that CM/DM responsibilities are understood and deliveries are achieved in accordance with program requirements.
• Supports the change process so that only approved and validated changes are incorporated into product documents and related hardware/software.
• Controls baseline and prepare material for distribution and release. Responsible for defining and managing the configuration status accounting (CSA) activity.
• Tracks all problems and changes in product documents and hardware/software and reports changes and current configuration.
• Ensures proper archiving and audibility of product releases.
• Managing input and retrieval of data in the configuration management repository.
• Interfaces with Supplier management to assure CM/DM Supplier Statement of Work (SSOW) and Supplier Data Requirements List (SDRL) requirements are properly flowed to Suppliers.
• Coordinates the integration of product elements, analyzes and resolves issues with engineering product structure.
• Serves as the customer focal for CM/DM.
• Works under minimal direction. Required Skills:
• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement. 9+ years related work experience
• Proficient in Product Lifecycle Management (PLM) tools (PTC Windchill, ENOVIA, Teamcenter, etc.) Preferred Skills:
• 14 years' related work experience or an equivalent combination of technical education and experience
• Experience with DOORS, Dassault MSOSA, Siemens Teamcenter, and Gitlab
• Knowledge of EIA-649-1 and/or MIL-HBK-61
• Experience with complex electro-optical and/or optomechanical systems
• Ability to accomplish tasks through formal channels and informal networks
• Excellent organizational, spoken and written communication across organizations. Education/Experience: Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement. 9+ years related work experience.

Apply