Data Engineer Metadata Engineer

Everforth ECS is seeking a Data Engineer / Metadata Engineer to work in a HYBRID schedule in our Arlington, VA office.

ECS is seeking talented professionals to join our growing team supporting the Cybersecurity and Infrastructure Security Agency''s (CISA) Technical Engineering and Support Services (TESS) program. TESS is CISA''s integrated, capability-driven mission ecosystem designed to scale across mission and delivery spaces within the DHS/CISA/Cybersecurity Division.

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.
• 5+ 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.
• Experience with enterprise data catalog platforms such as:
• Microsoft Purview
• Collibra
• Alation
• Informatica EDC
• Apache Atlas
• Experience with cloud platforms:
• Microsoft Azure
• AWS
• Google Cloud Platform
• Familiarity with:
• Data Governance Frameworks
• Data Quality Management
• Master Data Management (MDM)
• Data Modeling
• Data Mesh and Data Fabric architectures
• Experience supporting AI, Machine Learning, and advanced analytics initiatives.

#EverforthECS1

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

• Attracting and developing top talent and high-performing teams
• Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!