Data Engineer

6 months Contract to Hire

W2 only

As a Data Engineer, you’ll play a key role in building and optimizing the data pipelines, dashboards, and reporting tools that fuel strategic decision-making. From Power BI to Office 365 to cloud data platforms, you'll be working hands-on with a modern tech stack to support our finance, clinical, HR, and operational teams. You'll design smart, scalable systems, collaborate across departments, and help shape the future of data —all while making a meaningful difference.

What You’ll Do

Engineer Smart Data Pipelines: Design, develop, and maintain scalable data pipelines and ETL workflows to move and transform data across systems.

Own Power BI Reporting: Build, enhance, and manage interactive dashboards and reports that bring clarity and insight to every corner of the organization.

Collaborate & Deliver: Work closely with business analysts and stakeholders to understand reporting needs and translate them into reliable, high-impact data solutions.

Govern & Secure: Ensure data quality, consistency, and security across all platforms—keeping compliance top of mind (think HIPAA, GDPR).

Leverage Office 365: Use tools like SharePoint, Teams, and Power Automate to streamline report distribution, collaboration, and workflows.

Administer Power BI Service: Manage datasets, gateways, and workspaces, ensuring uptime, performance, and ease of access for users.

Document & Empower: Create clear, user-friendly documentation to support adoption, training, and long-term scalability.

What You Bring

Required:

3–5+ years in a Data Engineer, BI Developer, or related role

Power BI expertise (DAX, Power Query/M, Power BI Service)

Strong SQL skills and experience working with relational databases (SQL Server, Azure SQL, etc.)

Proficiency with Office 365 tools (SharePoint, Excel, Teams, Power Automate)

Experience in Windows-based environments (Windows Server, Windows 10/11)

Familiarity with data modeling (star schema, normalization, data warehousing concepts)

Attention to detail and a passion for clean, actionable data

Strong communicator who can translate tech into business value

Preferred:

Exposure to Azure Data Services (Azure Data Factory, Synapse, etc.)

Basic scripting (Python, PowerShell) for automation

Familiarity with the Microsoft Power Platform (Power Apps, Power Automate)

Understanding of data governance and compliance frameworks (HIPAA, GDPR, etc.)

Education

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or equivalent hands-on experience.