Data Engineer

Jack; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Jack is seeking a skilled Data Engineer for a leading kidney care management organization. In this vital role, you will create and enhance data pipelines, facilitating cloud migration and contributing to a sophisticated data architecture. Collaborate within a mission-driven team to improve healthcare outcomes through innovative data solutions, while enjoying a growth-oriented culture and flexibility to work remotely.

Benefits

Remote flexibility

Mentorship opportunities

Innovative working environment

Cross-functional collaboration

Qualifications

• Bachelor’s or Master’s degree in a related field with relevant experience.
• 3–5 years in data engineering for bachelor's or 3+ years for master's.
• Strong communication and presentation skills.

Responsibilities

• Build and optimize data pipelines; support cloud migration.
• Design and deploy SQL code, schema design, and query optimization.
• Mentor junior engineers and optimize development methodologies.

Skills

Azure Data Factory

SQL

Python

Cloud Migration

Data Warehousing

Education

Bachelor’s degree

Master’s degree

Tools

Databricks

Microsoft SQL Server

Job description

Jack is helping a leading kidney care management organization find 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.

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.
• 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.
• 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.
• 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.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care

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