Data Engineer

A leading kidney care management organization is looking for a skilled Data Engineer to support their mission to reimagine healthcare. This company partners closely with physicians to improve the lives of patients through advanced data systems and compassionate innovation. As a Data Engineer, you’ll play a critical role in building and optimizing data pipelines, supporting cloud migration efforts, and contributing to the overall architecture of a modern, scalable data ecosystem.

This is an opportunity to join a fast-growing, mission-driven team focused on transforming how healthcare data is leveraged to improve outcomes. You’ll collaborate cross-functionally, innovate constantly, and directly impact systems that support patients nationwide.

Benefits

• Meaningful Work: Contribute to improving the lives of patients through advanced data solutions in the healthcare space.
• Growth-Oriented Culture: Collaborate with experienced professionals and receive mentorship opportunities.
• Modern Tech Stack: Work hands-on with tools like Azure Data Factory, Databricks, SQL Server, and Python in a cloud-native environment.
• Innovation-First Environment: Drive improvements and suggest enhancements that shape the future of the company’s data infrastructure.
• Remote Flexibility: Work remotely while contributing to projects that make a real-world impact.

Responsibilities

• Collaborate with development teams to ensure timely and successful project delivery.
• Design, review, and deploy SQL code, while assisting with schema design and query optimization.
• Monitor, maintain, and troubleshoot data pipelines to resolve bottlenecks and ensure performance.
• Provide mentorship to junior engineers and guide best practices in development methodologies and frameworks.
• Contribute to the design and development of solutions within the existing Datawarehouse and Lakehouse architecture.
• Ensure proper documentation and knowledge sharing within the team to support smooth project hand-offs and scalability.
• Participate in defining methodologies and building tools within the Lakehouse and Datawarehouse infrastructure.
• Research and propose new technologies and enhancements for ongoing process improvement.
• Support cloud migration initiatives and the integration of data systems with external applications.

Requirements

• Education & Experience:
  • Bachelor’s degree with 3–5 years of experience in data engineering, or Master’s degree with 3+ years of experience.
• Technical Expertise:
  • Strong command of Azure-based tools including Azure Data Factory, Azure SQL databases, and Databricks.
  • Deep experience with the Microsoft SQL Server stack (SSIS, ADF).
  • Proficient in Python for data manipulation and pipeline support.
• Architecture & Integration:
  • Understanding of data lake and Lakehouse principles, data modeling, and data warehousing best practices.
  • Experience with cloud migration projects and integrating with third-party applications.
• Communication & Collaboration:
  • Excellent verbal and written communication skills.
  • Strong presentation skills for stakeholder meetings, requirement gathering, and feedback sessions.
• Work Ethic:
  • Proven ability to meet tight deadlines without sacrificing quality.
  • Self-driven and collaborative, with a continuous improvement mindset.