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Platform Engineering Lead Job Details | Black & Veatch Family of Companies
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- $70 to $80 USD / hour
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Strong SQL development and database management skills.
Added 9 mins ago
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Family Partner - SJPHC
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ECS FEDERAL LLC

Data Engineer / Metadata Engineer

ARLINGTON, VA, United States

Salary Range: $160,000-180,000

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Job details

Pay: Salary Range: $160,000-180,000
Experience: 5+ years of experience in data engineering, metadata management, or related data platform roles.
Posting language: English
Posted: Nov 5, 2026

Original job description

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.

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More about this job

Skills

CISA
Cataloging
Data engineering
Data models
Regulatory compliance
Data management
Mobile device management
Microsoft Azure
AWS
Google Cloud
ML
Business intelligence
Infrastructure as code
Data warehousing
Process data

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