More jobs:
Data Engineer – Mid
Job in
Fairfax, Fairfax County, Virginia, 22032, USA
Listed on 2026-10-20
Listing for:
Novaren Systems, LLC
Full Time
position Listed on 2026-10-20
Job specializations:
-
Software Development
Data Engineering, Azure
Job Description & How to Apply Below
Location:
Remote
Reports to:
Project Manager Back to all positions## Career description for Data Engineer – Mid Required clearance:
Clearance:
Ability to obtain Public Trust or higher preferred### About the role
The Mid-Level Data Engineer will support enterprise data modernization initiatives for the U.S. Consumer Product Safety Commission (CPSC), focused on building scalable, cloud-native data pipelines and analytics-ready datasets supporting advanced analytics and AI/ML initiatives. This role supports modernization of the agency’s Azure Data Lake environment and enterprise ingestion, transformation, and orchestration capabilities.
* Python* Azure
* PySpark* ETL/ELT
* Data Lake
* AI/ML### Key skills & technologies
* Programming & Data Engineering Advanced Python development including Pandas, Num Py, PySpark, scikit-learn, Tensor Flow, and related open-source libraries. Experience building reusable ETL/ELT services, APIs, automation scripts, and data transformation frameworks.
* Cloud & Azure Ecosystem Azure Data Lake Storage, Azure SQL, Azure Data Factory, Microsoft Fabric/Foundry, Azure Blob Storage, Azure-based orchestration and cloud-native data processing.
* Data Integration & ETL Structured and unstructured data ingestion, schema enforcement, schema evolution, data harmonization, data cleansing, API integration, relational database integration, and enterprise data workflows.
* Data Quality & Governance Data validation frameworks, anomaly detection, metadata-driven orchestration, lineage support, auditability, data quality controls, and governance-aligned processing pipelines.
* Operational Excellence Logging, monitoring, observability, fault tolerance, CI/CD integration, performance tuning, retry handling, and scalable cloud operations.
* AI/ML Readiness Preparation of analytics-ready and feature-ready datasets supporting machine learning workflows, predictive analytics, and enterprise reporting initiatives.### Key responsibilities
* Design and develop enterprise-grade ETL/ELT pipelines
* Support ingestion and transformation of large-scale structured and unstructured datasets
* Implement schema validation, quality assurance, and data governance controls
* Build and maintain Azure-based data services and orchestration workflows
* Develop APIs and microservices supporting interoperability with analytics platforms
* Collaborate with architects, analysts, and data scientists to deliver analytics-ready datasets
* Support Agile delivery and continuous improvement initiatives### Minimum experience
* 3+ years supporting enterprise data engineering, analytics, or ML-enabled data environments
* Strong SQL expertise
* Hands-on Azure cloud experience### Education requirement
Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field OR equivalent professional experience.### Preferred certifications & qualifications
* Azure Data Engineer certification preferred
* Experience supporting regulated or government cloud environments highly desirable
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