Cloud Data & Metadata Engineer | Governance & Pipelines

ECS; Arlington (VA); Hybrid; USD 160,000 - 180,000; Full time

Job summary

Everforth ECS in Arlington, VA (Hybrid) is seeking a Data/Metadata Engineer to design, develop, and optimize data pipelines, metadata repositories, and governance solutions for enterprise analytics and data management.

The role combines strong data engineering with metadata management, data lineage, and cloud platforms across Azure, AWS, and Google Cloud, collaborating with architects, analysts, and business stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 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 data warehousing skills.
• Understanding of metadata management, data lineage, and data catalog concepts.
• Active Top Secret clearance.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, build, and optimize scalable data pipelines and ETL/ELT processes.
• Develop and maintain metadata repositories and data catalogs.
• Define data governance standards and ensure data quality and lineage.
• Build cloud-native data solutions on Azure, AWS, or Google Cloud.
• Collaborate with data scientists, analysts, and business stakeholders.

Skills

Active TS clearance

SQL development

ETL/ELT pipelines

Data warehousing

Metadata management

Data lineage

Data catalog concepts

Cloud platforms

Communication skills

Problem solving

Education

Bachelor's degree in Computer Science / Information Systems / Data Engineering

Tools

Azure

AWS

Google Cloud

Job description

Everforth ECS in Arlington, VA (Hybrid) is seeking a Data/Metadata Engineer to design, develop, and optimize data pipelines, metadata repositories, and governance solutions for enterprise analytics and data management.

The role combines strong data engineering with metadata management, data lineage, and cloud platforms across Azure, AWS, and Google Cloud, collaborating with architects, analysts, and business stakeholders.