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
Preferred Qualifications
- 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.
Skills Required
- Active Top Secret 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
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
