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AI Summary
Design and maintain scalable data pipelines and platforms using Azure services to ensure reliable high-volume data processing. Develop REST API integrations and implement data governance and compliance standards such as HIPAA and SOC2.
Overview
Build data systems that power real-world impact.
We’re looking for a Data Engineer who thrives in building scalable data platforms and wants to work on a high-impact, data-intensive project—all while enjoying the flexibility of remote work. If you enjoy designing pipelines, integrating systems, and working with modern cloud data stacks—this role is for you.
Responsibilities
What You’ll Be Building:
Data Platform & Pipeline Engineering
- Design and maintain scalable data pipelines for structured (CSV) data ingestion
- Build and optimize pipelines for data lakes and warehouses (Azure Data Lake, Synapse)
- Ensure reliable, high-volume data processing
Platform Integration & API Data Flows
- Develop and maintain REST API integrations and system connectors
- Integrate with third-party systems (e.g., HMIS, partner platforms)
- Enable seamless data flow across platforms and reporting tools
Data Quality, Governance & Compliance
- Implement data validation, integrity, and deduplication processes
- Build systems aligned with “single source of truth” principles
- Ensure compliance with HIPAA, SOC2, and regulatory requirements
Collaboration & Engineering Excellence
- Work closely with engineers to align data & application architecture
- Contribute to Agile workflows, CI/CD pipelines, and code reviews
- Help shape cloud and data architecture decisions
Tech Stack You’ll Work With:
- Azure Data Services (Data Lake, Synapse, Data Factory)
- SQL Server & relational databases
- Microsoft Fabric
- REST APIs & integration frameworks
- Power BI / Analytics tools
- CI/CD pipelines & Agile methodologies
Qualifications
What You Bring
Must-Have:
- 4+ years in Data Engineering / Backend Data Systems
- Strong experience with:
- SQL Server & relational databases
- Azure Data Stack (Data Lake, Synapse, Data Factory)
- ETL/ELT pipeline development
- Experience with APIs, distributed systems, and data platforms
- Familiarity with Power BI or similar tools
- Solid understanding of Agile, CI/CD, version control
Nice to Have
- Experience in healthcare, nonprofit, or government systems
- Exposure to Microsoft Fabric
- Background in compliance-heavy environments (HUD, Medicaid, etc.)
Required Skills
Data Engineering, Agile workflows, CI/CI Pipeline, SQL Server,Years of Experience Needed
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