Data Engineer / Metadata Engineer
Azure Data Engineer
Big Data
Cloud Data Engineering
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Fabric
Data Governance
Data Integration
Data Management
Data Mesh
Data Metadata Management
Data Pipeline
Data Platform
Data Processing
Data Security
Data Warehouse
Database
Databases
Dataops
ETL
Informatica
Mdm
SQL
Job Description
Omniscius Consulting is hiring a Data Engineer / Metadata Engineer to help build enterprise-ready data pipelines, metadata repositories, and data governance solutions. This onsite role in Arlington, VA focuses on improving data quality, discoverability, lineage, and cataloging while supporting cloud-native data platforms for analytics, AI/ML, and business intelligence workloads.
What you will do
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Integrate data from multiple structured and unstructured sources into enterprise data platforms.
- Develop and optimize data models, data warehouses, data lakes, and lakehouse architectures.
- Ensure pipelines meet performance, reliability, and scalability requirements.
- Implement automation and monitoring for ingestion and processing workflows.
- Design and maintain metadata repositories and data catalogs, including business, technical, and operational metadata standards.
- Build automated metadata collection, classification, and enrichment processes.
- Maintain metadata lineage and provide impact analysis across data assets.
- Support enterprise data governance initiatives and best practices, including compliance with organizational data policies and regulatory requirements.
- Partner with business and technical stakeholders to define data ownership and stewardship models.
- Implement data quality monitoring and validation controls.
- Support master data management (MDM) and reference data initiatives.
- Develop and support cloud-native data solutions within Azure, AWS, or Google Cloud.
- Contribute to infrastructure-as-code and data platform automation efforts.
- Document system designs, data flows, metadata models, and operational procedures.
What you bring
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent experience).
- 3-7 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.
- Active Top Secret (TS) clearance.
Tools and platforms you may work with
SQL, ETL/ELT, Azure, AWS, Google Cloud, Microsoft Purview, Collibra, Alation, Informatica EDC, Apache Atlas, data governance frameworks, data quality management, Master Data Management (MDM), data modeling, Data Mesh and Data Fabric.
Preferred experience
- Experience with enterprise data catalog platforms including Microsoft Purview, Collibra, Alation, Informatica EDC, or Apache Atlas.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Familiarity with data governance frameworks, data quality management, MDM, data modeling, and Data Mesh/Data Fabric architectures.
- Experience supporting AI, Machine Learning, and advanced analytics initiatives.
Location: Arlington, VA (onsite)
Minimum experience: 3 years
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