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Metadata Engineer Jobs (NOW HIRING)

ECS

Data/Metadata Engineer

Arlington, VA · On-site

$160K - $180K/yr

Everforth ECS is seeking a Data/Metadata Engineer to join our team in Arlington, VA (Hybrid) . This position is contingent upon award. We are seeking a talented Data Engineer / Metadata Engineer to ...

Capgemini

$61K - $66K/yr

The AI & Metadata Engineer will design and build AI-enabled metadata extraction capabilities to automate lineage discovery and evidence generation.* This role will focus on leveraging AI/LLM ...

Capgemini

Junior AI & Metadata Engineer

Charlotte, NC · On-site

$61K - $66K/yr

The AI & Metadata Engineer will design and build AI-enabled metadata extraction capabilities to automate lineage discovery and evidence generation.* This role will focus on leveraging AI/LLM ...

iShare Inc

Metadata Developer

Manhattan, NY · Remote

$115K/yr

Metadata Developer Job Summary We are seeking an experienced Metadata Developer to support enterprise-wide Data Governance and Metadata Management initiatives within a Property & Casualty (P&C ...

iShare, Inc.

Metadata Developer

Manhattan, NY · On-site +1

$115K/yr

Metadata Developer Job Summary We are seeking an experienced Metadata Developer to support enterprise-wide Data Governance and Metadata Management initiatives within a Property & Casualty (P&C ...

L3HHCM20

Specialist, Software Engineering

Clifton, NJ · On-site

Specialist, Data / Metadata Engineer Job Code: 42901 Job Location: Clifton, NJ Job Schedule: 9/80 employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off L3Harris ...

The Walt Disney Company

Metadata Tagger

Glendale, CA

Metadata Tagger Req ID: 10159921 Technology is at the heart of Disney's past, present, and future ... Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to ...

Fivetran

Staff Software Engineer, Metadata

Denver, CO · Remote

We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform - the discovery API, catalog, lineage, and run history ...

Fivetran

Staff Software Engineer, Metadata

Oakland, CA · Remote

We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform - the discovery API, catalog, lineage, and run history ...

AIG

Enterprise Metadata Architect

Charlotte, NC · On-site

$67.50 - $87/hr

Work with Data Architecture and Engineering to collect, ingest, and harmonize across heterogeneous metadata sources. * Ensure the enterprise catalog remains aligned with enterprise data architecture ...

AIG

Enterprise Metadata Architect

Atlanta, NE · On-site

$82.25 - $106.25/hr

Work with Data Architecture and Engineering to collect, ingest, and harmonize across heterogeneous metadata sources. * Ensure the enterprise catalog remains aligned with enterprise data architecture ...

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Metadata Engineer information

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$127.5K

$168.5K

How much do metadata engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for metadata engineer in the United States is $166,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a metadata engineer?

Metadata Engineers are specialized IT professionals who design, implement, and manage systems that capture, structure, and utilize metadata—data that describes other data—within an organization. Their work supports data governance, improves data discoverability, and enhances the consistency and quality of information across databases and platforms. Metadata Engineers often collaborate with data architects, data stewards, and business analysts to ensure that data assets are properly cataloged and easily accessible for analysis and compliance purposes.

How does a metadata engineer typically collaborate with data governance and engineering teams?

Metadata Engineers play a crucial role in bridging the gap between data governance and engineering teams. They are responsible for designing and maintaining metadata repositories, ensuring data assets are well-documented and easily discoverable. On a daily basis, Metadata Engineers work closely with data engineers to implement metadata capture and lineage tracking, and they partner with governance teams to establish data quality and compliance standards. Effective collaboration is essential for maintaining data integrity and supporting organizational data strategies.

What are the key skills and qualifications needed to thrive as a metadata engineer, and why are they important?

To thrive as a Metadata Engineer, you need a strong background in data modeling, metadata standards, and database management, often supported by a degree in computer science or a related field. Familiarity with metadata management tools (such as Collibra or Alation), SQL, data catalog systems, and sometimes certifications in data governance are commonly required. Attention to detail, analytical thinking, and effective cross-team communication are crucial soft skills for this role. These skills ensure accurate metadata organization, support data discoverability, and enable effective data governance across an organization.

What is the difference between Metadata Engineer vs Data Engineer?

AspectMetadata EngineerData Engineer
Required CredentialsBachelor's in Computer Science, Information Systems, or related fields; certifications in data management or metadata standardsBachelor's in Computer Science, Software Engineering, or related fields; certifications in data engineering or cloud platforms
Work EnvironmentData management teams, data governance, data catalogingData pipelines, database architecture, big data platforms
Employer & Industry UsageTech companies, data-driven organizations, data management firmsTech companies, finance, healthcare, e-commerce, any industry handling large data sets

While both roles involve working with data, Metadata Engineers focus on managing data descriptions, standards, and catalogs to ensure data is discoverable and well-documented. Data Engineers build and maintain data pipelines and infrastructure to enable data analysis and reporting. Understanding these differences helps organizations assign the right roles for their data needs.

More about Metadata Engineer jobs

What are popular job titles related to Metadata Engineer jobs?

For Metadata Engineer jobs, the most frequently searched job titles are:

Metadata Engineer jobs near you
Infographic showing various Metadata Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $166,304 per year, or $80 per hour.

Data/Metadata Engineer

Arlington, VA • On-site

ECS
See more jobs at ECSexternal

$160K - $180K/yr

Full-time

Posted 6 days ago

Job description

Everforth ECS is seeking a Data/Metadata Engineer to join our team in Arlington, VA (Hybrid). This position is contingent upon award.
We are seeking a talented Data Engineer / Metadata Engineer to design, develop, and optimize data pipelines, metadata repositories, and data governance solutions that support enterprise analytics, reporting, and data management initiatives. This role will be responsible for ensuring data quality, discoverability, lineage, cataloging, and integration across a complex data ecosystem (both internal and external to supporting organization).
The ideal candidate combines strong technical data engineering skills with expertise in metadata management, data governance frameworks, and modern cloud data platforms.
Key Responsibilities
Data Engineering
  • Design, build, and maintain scalable data pipelines and ETL/ELT processes.
  • Integrate data from multiple structured and unstructured sources into enterprise data platforms.
  • Integrate and correlate data sets both internal and external to customer organization.
  • Develop and optimize data models, data warehouses, data lakes, and lakehouse architectures.
  • Ensure data pipelines meet performance, reliability, and scalability requirements.
  • Implement automation and monitoring for data ingestion and processing workflows.

Metadata Management
  • Design and maintain enterprise metadata repositories and data catalogs.
  • Define and manage business, technical, and operational metadata standards.
  • Develop processes for automated metadata collection, classification, and enrichment.
  • Maintain metadata lineage and impact analysis capabilities across data assets.
  • Ensure metadata consistency and accuracy across enterprise systems.

Data Governance & Quality
  • Support enterprise data governance initiatives and best practices.
  • Partner with business and technical stakeholders to define data ownership and stewardship models.
  • Implement data quality monitoring and validation controls.
  • Ensure compliance with organizational data policies and regulatory requirements.
  • Support master data management (MDM) and reference data initiatives.

Cloud & Platform Engineering
  • Develop and support cloud-native data solutions within Azure, AWS, or Google Cloud environments.
  • Build and optimize data integration solutions using cloud services and modern data tools.
  • Support enterprise analytics, AI/ML, business intelligence workloads, and assist with build of automation-first pipelines.
  • Contribute to infrastructure-as-code and data platform automation efforts.

Collaboration & Stakeholder Support
  • Work closely with data architects, analysts, data scientists, governance teams, and business stakeholders.
  • Translate business requirements into data engineering and metadata management solutions.
  • Support data discovery, self-service analytics, and data literacy initiatives.
  • Document system designs, data flows, metadata models, and operational procedures.

Salary Range: $160,000 - $180,000
General Description of Benefits
  • Active Top Secret (TS) clearance
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience.
  • 7+ years of experience in data engineering, metadata management, or related data platform roles.
  • Experience building and maintaining ETL/ELT pipelines.
  • Strong SQL development and database management skills.
  • Experience with data warehousing and large-scale data processing.
  • Understanding of metadata management, data lineage, and data catalog concepts.
  • Strong problem-solving, analytical, and communication skills.

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