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 seeking a Data Engineer / Metadata Engineer to design and deliver enterprise-grade data pipelines and metadata capabilities that support analytics and data management. The role centers on building reliable ETL/ELT workflows, developing metadata repositories and catalogs, and strengthening data governance through quality monitoring, lineage, and discoverability.
What you’ll do
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Integrate data from multiple structured and unstructured sources into enterprise data platforms.
- Correlate and integrate datasets both internal and external to the customer organization.
- Develop and optimize data models, data warehouses, data lakes, and lakehouse architectures.
- Ensure pipeline performance, reliability, and scalability meet enterprise expectations.
- Implement automation and monitoring for ingestion and processing workflows.
- Design and maintain enterprise metadata repositories and data catalogs.
- Define and manage business, technical, and operational metadata standards.
- Build automated metadata collection, classification, and enrichment processes.
- Maintain metadata lineage and enable impact analysis 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 on 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 using cloud services and modern data tools.
- Support enterprise analytics, AI/ML, business intelligence workloads, including automation-first pipeline development.
- Contribute to infrastructure-as-code and data platform automation efforts.
- Work with data architects, analysts, data scientists, governance teams, and business stakeholders to translate requirements into solutions.
- Support data discovery, self-service analytics, and data literacy initiatives.
- Document system designs, data flows, metadata models, and operational procedures.
Required qualifications
- 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.
Technologies 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
Location: Arlington, VA (onsite)
Minimum experience: 3 years
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