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Data Management Engineer Jobs (NOW HIRING)

Deloitte

Data Management Engineer III

Rosslyn, VA · On-site

$130.50K - $156.70K/yr

Work You'll Do As a Data Management Engineer III on the project, you will: * Participate in and contribute to the development and maintenance of Data Engineering Pipelines * Utilize Databricks ...

DCS Corporation

Data Management Specialist

Ridgecrest, CA · On-site

$70.31K - $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 Corporation

Data Management Specialist

Ridgecrest, CA · On-site

$70.31K - $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 CORPORATION

Data Management Specialist

Ridgecrest, CA · On-site

$70.31K - $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

$70.31K - $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 ...

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$44.5K

$129.7K

$177.5K

How much do data management engineer jobs pay per year?

As of May 29, 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 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.

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 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.

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 May 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, 1% Temporary, and 1% Contract. Highlights an 56% Physical, 13% Hybrid, and 31% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Management Engineer III

Data Management Engineer III

Deloitte

Rosslyn, VA • On-site

$130.50K - $156.70K/yr

Other

Posted 9 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

 

Work You'll Do

As a Data Management Engineer III on the project, you will:

  • Participate in and contribute to the development and maintenance of Data Engineering Pipelines
  • Utilize Databricks, Python, SQL and database operations and processing concepts in a CI/CD environment
  • Clean, standardize, and transform raw data using repeatable routines for validation, deduplication, and business-rule application to deliver client-specified output formats and curated analytics-ready tables
  • Ingest and integrate client datasets by coordinating secure data transfers, profiling incoming files, and orchestrating end-to-end pipelines
The successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
 

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project-focused professionals.

 

Qualifications

Required: 

  • Bachelor's degree required
  • Must be able to obtain and maintain the required Public Trust clearance for this role
  • 2+ years of relevant experience in data engineering and/or analytics roles supporting production data pipelines, reporting, and stakeholder-driven analysis.
  • 2+ years of relevant experience of development experience with Databricks to build, deploy, share, and maintain data and analytics solutions
  • Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred: 

  • Master's degree preferred
  • Previous Federal Health experience preferred
  • Active Public Trust clearance preferred
Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

 

Work You'll Do

As a Data Management Engineer III on the project, you will:

  • Participate in and contribute to the development and maintenance of Data Engineering Pipelines
  • Utilize Databricks, Python, SQL and database operations and processing concepts in a CI/CD environment
  • Clean, standardize, and transform raw data using repeatable routines for validation, deduplication, and business-rule application to deliver client-specified output formats and curated analytics-ready tables
  • Ingest and integrate client datasets by coordinating secure data transfers, profiling incoming files, and orchestrating end-to-end pipelines
The successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
 

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project-focused professionals.

 

Qualifications

Required: 

  • Bachelor's degree required
  • Must be able to obtain and maintain the required Public Trust clearance for this role
  • 2+ years of relevant experience in data engineering and/or analytics roles supporting production data pipelines, reporting, and stakeholder-driven analysis.
  • 2+ years of relevant experience of development experience with Databricks to build, deploy, share, and maintain data and analytics solutions
  • Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred: 

  • Master's degree preferred
  • Previous Federal Health experience preferred
  • Active Public Trust clearance preferred
Education:Bachelor's DegreeEmployment Type:

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