Job summary
Job post source
This job is directly from Medical Home Network
Job overview
The Senior Data Engineer, Healthcare at Medical Home Network leads the design and implementation of advanced data integration solutions to improve healthcare delivery and community health outcomes.
Responsibilities and impact
The role involves designing and developing data pipelines, APIs, and middleware using Python, SQL, and cloud technologies, collaborating with leadership on integration architecture, mentoring team members, and ensuring system performance and compliance with healthcare data standards.
Compensation and benefits
The position offers competitive benefits including medical, vision, dental, HSA, FSA, 401k, fitness reimbursement, commuter benefits, tuition assistance, paid time off, sick leave, 12 paid holidays, and a hybrid work schedule with remote options.
Experience and skills
Candidates should have 5+ years of data engineering experience, strong Python and SQL skills, familiarity with pandas or PySpark, experience with SQL databases and cloud warehouses like Snowflake, knowledge of GIT, and preferably healthcare data standards and clinical data experience.
Career development
The role includes mentoring responsibilities and opportunities to work with emerging technologies, supporting professional growth in data engineering and healthcare integration architecture.
Work environment and culture
Medical Home Network offers a fun, collaborative, and passionate work environment recognized as a top place to work in healthcare, with a focus on work-life balance and community impact.
Company information
Medical Home Network is a Public Benefit Corporation founded in 2009, focused on improving healthcare delivery and community health through technology and collaboration across Chicago and nationally.
Job location and travel
The job is based near Chicago with a hybrid schedule requiring 2 days onsite and 3 days remote for local employees, with full remote options for those outside 50 miles.
Unique job features
The role is distinguished by its impact on healthcare data interoperability, use of cutting-edge technologies, and a mission-driven environment focused on reducing health disparities.
Company overview
Medical Home Network (MHN) is a healthcare organization focused on transforming care delivery for Medicaid patients through innovative, collaborative models. They leverage technology and data analytics to enhance care coordination, improve patient outcomes, and reduce costs. Founded in 2009, MHN has pioneered the use of real-time data sharing among healthcare providers to streamline patient care. Their revenue comes from partnerships with healthcare providers, payers, and community organizations, emphasizing value-based care models. Key historical milestones include the development of the MHNConnect platform and successful implementation of their care coordination model in Chicago.
How to land this job
Position your resume to highlight your expertise in Python, SQL, and API development, emphasizing your ability to build scalable and performant data integration solutions in healthcare settings.
Showcase your experience with cloud data warehouses like Snowflake, data migration projects, and familiarity with healthcare data standards to align with Medical Home Network's technical and industry needs.
Apply through multiple platforms including Medical Home Network's corporate careers page, LinkedIn, and other job boards where this role is posted to maximize your exposure.
Connect with current employees in the data engineering or technology divisions at Medical Home Network on LinkedIn, using ice breakers such as commenting on their recent projects in healthcare data innovation or asking about their experience working on integration architecture.
Optimize your resume for ATS by incorporating keywords from the job description like 'data ingestion,' 'integration architecture,' 'Python,' 'SQL,' 'Snowflake,' 'API development,' and 'healthcare data standards' to ensure it passes initial screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify key networking contacts, and apply through multiple channels efficiently, freeing you to focus on interview preparation and skill enhancement.
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