Data Engineer / Metadata Engineer
About The Position
Everforth ECS is seeking a Data Engineer / Metadata Engineer to support 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. The position follows a hybrid schedule in the company’s Arlington, Virginia office. The role designs, develops, and optimizes data pipelines, metadata repositories, and data governance solutions supporting enterprise analytics, reporting, and data management. It is responsible for data quality, discoverability, lineage, cataloging, and integration across a complex data ecosystem, both internal and external to the supporting organization. The ideal candidate combines technical data engineering skills with expertise in metadata management, data governance frameworks, and modern cloud data platforms.
Requirements
- Active Top Secret (TS) clearance.
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience.
- At least 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.
Responsibilities
- 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 datasets both internal and external to the 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.
- 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.
- 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.
- Develop and support cloud-native data solutions in Azure, AWS, or Google Cloud environments.
- Build and optimize data integration solutions using cloud services and modern data tools.
- Support enterprise analytics, AI/ML, and business intelligence workloads, and assist with building automation-first pipelines.
- Contribute to infrastructure-as-code and data platform automation efforts.
- Work 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
