Data Engineer
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
4