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Data Management Engineer Jobs (NOW HIRING)

Tufts University

Data Management Specialist

Boston, MA · On-site

$54.50K - $81.70K/yr

The Data Management Specialist will provide oversight and guidance to HNRCA researchers regarding ... Basic Programming skills (Preferably Python, R or SAS). * Demonstrate proficiency in English ...

KOHLER

Manager, Product Data Management

Kohler, WI · On-site

Leadership & Team Management * Lead, mentor, and develop a high-performing team of Product Data ... Recruit, onboard, and develop top engineering talent. * Oversee team workload, prioritization, and ...

ADI Global

Sr Manager Data Management

Charlotte, NC · On-site

Strong SQL skills and solid data engineering fundamentals (pipelines, integrations, testing/monitoring). * Excellent communication, stakeholder management, and change leadership skills. WE VALUE

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How much do data management engineer jobs pay per year?

As of May 30, 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:
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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 Specialist

Data Management Specialist

Tufts University

Boston, MA • On-site

$54.50K - $81.70K/yr

Full-time

Posted 21 days ago

Tufts University rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

106th of 529 rated colleges and universities

Job description

Overview
The Jean Mayer USDA Human Nutrition Research Center on Aging (HNRCA) is one of six USDA human research centers created by Congress to study the effects of human nutrition on health. The HNRCA is the site for conducting some of the most advanced research in the world on the relationship between nutrition and the aging process. The Informatics Core is one of the HNRCA core service units. The core unit consults and assists in study design, implementation, and data analysis/management and develops new bioinformatics techniques and software to support HNRCA research activities. Scientists confer with the unit in the early stages of a study to discuss project goals, available resources, accepted statistical, bioinformatics and data management practices.
What You'll Do
This is a grant-funded position and is not eligible for severance pay.
The Data Management Specialist will provide oversight and guidance to HNRCA researchers regarding data management. The major responsibilities of this position include the implementation of clinical research management software for human subject research. The data management responsibilities of the position include, but are not limited to, provide training services and data management services to HNRCA investigators, staff, and trainees. Training services include workshops and training for labs, core units, and trainees on data management best practices, and in data sharing and retention policies. Data management services include partnering with investigators and the HNRCA bioinformatician, statisticians and analysts to develop, refine, and implement data collection and management plans; provide guidance for data collection, quality control and data cleaning; and contribute to development of plans for data close-out and codebooks, data sharing, and data retention.
  • Collaborate with the HNRCA researchers regarding data management. Partner with investigators and core unit staff with the following responsibilities: development and implementation of data collection and management plans and ensure plans are followed according to study design and requirements; Collaborate with Researchers to create databases and offer guidance on data management tools, programs, data collection; perform quality control checks and data cleaning; provide oversight with database close-out activities, archiving of study databases and related documents, data release and data sharing in accordance with federal regulations. Work with investigators to write data collection/management plans for grant applications and manuscripts. Partner with HNRCA and University IT as needed on the creation and management of databases and keep up-to-date on available external sources of data management programs
  • Partner with Researchers to develop standardized practices and procedures for compliance with federal data sharing and retention policies, including partnering with University and external experts to identify best practices and existing resources
  • Deliver workshops and training sessions for laboratories, core units, and trainees on best practices in data management; aid in development and implementation of training on best practices to comply with federal data sharing and retention policies; develop standard operating procedures for all best practices

What We're Looking For
Basic Requirements:
Knowledge and experience typically acquired by:
  • Master's Degree in health sciences related field
  • Experience with data management software programs.
  • 1 or more years experience in data management and/or related work experience in an academia and/or research setting.
  • Experience in writing data collection and management plans for grant applications and manuscripts
  • Previous clinical research experience
  • Knowledge and skills as typically acquired through obtaining a Bachelor's degree in health sciences or related field.
  • Strong data management skills including the ability to handle and organize data from different sources and Sperform QC.
  • Understanding of clinical documentation
  • Knowledge of software and technology for data collection and data management.
  • Excellent verbal and written skills, good organizational, interpersonal, and team skills.
  • Project coordination.
  • Basic Programming skills (Preferably Python, R or SAS).
  • Demonstrate proficiency in English language skills (reading ,writing, and speaking).
  • Proficient in Microsoft Office
  • Must be willing and able to learn and use new software proficiently
  • Exceptional skills working with people of all backgrounds and willingness to work with collaborators inside and outside of Tufts University.
  • Self-motivated individual with strong organizational skills
  • Strong time management and ability to handle multiple projects, organize work, and set priorities to meet deadlines while working within prescribed time constraints
  • Confidentiality and discretion is essential
  • Ability to monitor trends and practices in data sharing and data retention and develop implementation plans for HNRCA investigators.
  • Demonstrate a professional and ethical manner at all times
  • Knowledge of federal data retention and sharing policies
  • Working knowledge of Good Clinical Practices, Good Manufacturing Practices, Clinical research, Clinical trial process and/or related regulatory requirements and terminology
  • UI/UX experience

Pay Range
Minimum $54,500.00, Midpoint $68,100.00, Maximum $81,700.00
Salary is based on related experience, expertise, and internal equity; generally, new hires can expect pay between the minimum and midpoint of the range.

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