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Data Management Developer Jobs (NOW HIRING)

Data Management Engineer

La Crosse, WI

$112K - $135K/yr

... engineering and customer needs into software tools and data products. * Responsible for implementation, maintenance, and audit of configuration management and bill of material aspects * Apply ...

New

Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas of: project scheduling, configuration management, finance and accounting, contracting, limited data ...

Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas of: project scheduling, configuration management, finance and accounting, contracting, limited data ...

Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas of: project scheduling, configuration management, finance and accounting, contracting, limited data ...

Analytical thinking, application development, data management, DevOps practices, solution design, Agile practices, collaboration, decision making, risk management, test engineering, architecture ...

... 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 ...

... 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 ...

... 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 ...

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 ...

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Data Management Developer information

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How much do data management developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data management developer in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a data management developer?

A Data Management Developer is a professional who designs, implements, and maintains systems that store, organize, and manage data efficiently. They work with databases, data warehouses, and data integration tools to ensure data is accurate, accessible, and secure. These developers often collaborate with data analysts, engineers, and other IT staff to support business intelligence and decision-making processes. Their role is critical in helping organizations manage large volumes of data and leverage it for strategic advantage.

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

To thrive as a Data Management Developer, you need strong skills in database design, SQL programming, and data modeling, typically supported by a degree in computer science or a related field. Proficiency with tools like Microsoft SQL Server, Oracle, ETL platforms, and data warehousing solutions, as well as certifications such as Microsoft Certified: Azure Data Engineer or similar, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set outstanding professionals apart in this role. These skills and qualities are crucial for ensuring reliable, optimized, and secure management of organizational data assets.

What are some common challenges faced by data management developers when integrating data from multiple sources?

Data Management Developers often encounter challenges such as inconsistent data formats, varying data quality, and incomplete documentation when integrating information from different systems. Addressing these issues typically requires strong problem-solving skills, attention to detail, and close collaboration with data owners and other IT teams. Developers may also need to implement data cleansing and transformation processes to ensure data integrity and usability across platforms. Proactively communicating with stakeholders and utilizing robust ETL (Extract, Transform, Load) tools are essential for overcoming these challenges.

What cities are hiring for Data Management Developer jobs?

Cities with the most Data Management Developer job openings:

What states have the most Data Management Developer jobs?

States with the most job openings for Data Management Developer jobs include:

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

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

Data Management Manager

Globe, AZ

Full-time

Re-posted 13 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Data Management Manager is responsible for leading the implementation and operationalization of Enterprise Data Management capabilities across the organization. The role ensures the consistent adoption of enterprise data standards, metadata, data quality, master data, and governance practices while driving the development of trusted, discoverable, and reusable enterprise data assets.
Working closely with Business, Enterprise Architecture, Solution Delivery, Engineering, and Data Owners, the Data Management Manager translates enterprise data strategy into operational execution by managing governance initiatives, overseeing data management deliverables, and leading a team of Data Management Engineers.
The role is accountable for governance maturity, operational excellence, stakeholder engagement, and continuous improvement of the organization's Enterprise Data Foundation.

DUTIES AND RESPONSIBILITIES:

Enterprise Data Standards & Models

  • Lead the development and maintenance of enterprise data standards, naming conventions, business rules, and data modeling standards.

  • Govern compliance with enterprise data models across projects and initiatives.

  • Review and approve conceptual and logical data models developed by the team.

  • Drive adoption of TMF SID and enterprise modeling standards.

Metadata & Data Asset Management

  • Lead enterprise metadata management activities.

  • Oversee the Data Catalog, Business Glossary, Metadata Repository, and Data Asset Inventory.

  • Ensure critical enterprise data assets are governed, classified, and maintained.

  • Improve enterprise data discoverability and reuse through metadata governance.

Data Quality Management

  • Lead the implementation of the Enterprise Data Quality Operating Model.

  • Approve enterprise data quality standards, validation rules, and monitoring processes.

  • Monitor governance KPIs and enterprise quality performance.

  • Coordinate cross-functional remediation activities with Data Owners and Stewards.

Data Lineage & Impact Analysis

  • Govern end-to-end enterprise data lineage.

  • Ensure lineage coverage for critical business domains.

  • Lead impact analysis for major enterprise initiatives.

  • Maintain enterprise dependency mapping and traceability.

Governance Operations

  • Lead operational governance reviews.

  • Monitor governance compliance across projects.

  • Ensure timely onboarding of enterprise data assets.

  • Drive governance maturity improvements.

  • Report governance performance to department leadership.

Master & Reference Data Management

  • Lead enterprise Master and Reference Data governance initiatives.

  • Approve authoritative source definitions for enterprise master data.

  • Govern the development and approval of:

    • Match Rules

    • Merge Rules

    • Survivorship Rules

    • Golden Record Specifications

  • Ensure enterprise consistency of master and reference data across systems.

  • Oversee stewardship processes and master data lifecycle governance.

Stakeholder & Team Leadership

  • Lead and coach the Data Management Engineering team.

  • Manage work planning, prioritization, and resource allocation.

  • Partner with Business, Enterprise Architecture, Solution Architecture, Transformation Office, and Engineering teams.

  • Resolve governance issues and drive enterprise-wide adoption of standards.

REQUIREMENTS:

  • Minimum 5 years work experience in database management, data warehousing, ETL, data visualization, and data mining

  • Minimum 3-5 years in a leadership or people management role.

  • Work experience in a telco company is preferred; with working knowledge of telco fundamentals

  • Graduate of Statistics, Computer Science, IT, or other related courses

  • Expert knowledge in analytics, visualization, and mapping tools (Python, SAS, SQL, Google Maps), experience using Alteryx is preferred

  • Demonstrated experience leading enterprise-wide data management or governance initiatives.

  • Experience working across Business, Architecture, Engineering, and Operations organizations.

  • Experience developing governance frameworks, operating models, standards, and policies.

Work Experience:

  • Bachelor's degree in computer science, information systems, or a related field

  • 5+ years of experience in data management or related roles

  • 2+ years of experience in a leadership or managerial position

Level of Knowledge:

  • Advanced knowledge of data management principles, practices, and technologies

  • In-depth understanding of data governance, data quality, and data security concepts

  • Familiarity with industry trends and emerging technologies in data management

Certifications (Optional) :

  • Certified Data Management Professional (CDMP)

  • Certified Information Management Professional (CIMP)

  • Certified Information Systems Security Professional (CISSP)

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.