At Hopscotch Primary Care, we believe great healthcare should be accessible to all people across all communities. Today, almost 20% of Americans live in a rural community, yet only 11% of physicians practice in those same communities. We are on a mission to transform healthcare in rural America. We provide high-quality primary care tailored to meet the needs of our patients through our robust care model and comprehensive care team, delivering care in our clinics, and across settings, and wrapping resources around the patients who need them most.
Our patients and the care teams who serve them sit at the center of everything we do at Hopscotch. Hopscotch Primary Care takes a team approach to serve patient needs and provide the best care possible. Our goal is to provide the care each of us would want for ourselves or for our family members, in the right setting, and at the right time.
Today, we are serving thousands of patients in our value-based care model and the number is growing every day. If you want to bring your experience, skill and passion to make a lasting impact in healthcare, we’d like to meet you.
ABOUT THE ROLE
We are looking for a Senior Data Engineer (remote) to own and evolve the backbone of our data platform. This role is for a hands-on builder who thrives at the intersection of data engineering, software architecture, and pragmatic problem solving. You’ll design and scale the systems that ensure our data is trustworthy, accessible, and ready to power everything from day-to-day operations to next-generation AI applications. While this is not a people manager role, you will serve as a technical leader on the team, raising the bar on engineering fundamentals and helping shape the long-term direction of our data ecosystem. You will be part of a skilled, passionate, and collaborative team committed to working together to realize Hopscotch’s ambitious and important vision.
RESPONSIBILITIES- Architect, build, and maintain our data model, data pipelines, and data access layer that support our care delivery, operations, and analytics in collaboration with the data platform team.
- Ensure data quality & governance: implement practices that make our data trustworthy and usable for all stakeholders, from clinicians to operators.
- Monitor and optimize data infrastructure: troubleshoot issues, improve system performance, and drive efficiency through automation and process enhancements.
- Lead with technical depth: review code and set engineering best practices across the team.
- Think big picture: design today’s infrastructure with tomorrow’s needs in mind, laying the foundation for high quality workflow enhancements as well as advanced analytics and AI. · Contribute where business needs are highest: flex across the stack, from backend data engineering to occasional contributions in frontend applications that bring data to life.
- Collaborate with cross-functional teams: work with product managers, analytics, operations, and care delivery stakeholders to translate business needs into scalable data solutions.
- You would be a great fit for this position if you:
- Have an ownership mentality; take high-level business and technical challenges, frame them into actionable work, and deliver solutions with minimal oversight.
- Are customer-focused with a passion for serving patients and providers who make healthcare possible
- Are results-driven, focusing time and resources against the most important priorities
- Comfortable with ambiguity and bring a structured, proactive approach to executing
- Energized by building relationships and finding creative solutions
- Articulate and succinct with communication about complex concepts, both verbally and in writing
From a cultural perspective, you are:
- Agile, yet thoughtful, and can work effectively in a fast-paced, ever-changing environment · Constantly seeking ways to simplify and improve how things are done, bringing a positive attitude to challenges
- Always looking for ways to modernize our stack, testing out the limits of new technologies, and applying new technologies to solve problems where applicable
- Accountable, holding yourself, and others, to a high standard
- Supportive of teammates and aim to share knowledge with others
- Willing to roll up your sleeves to get work done and collaborate effectively with people of all backgrounds
- Bachelor’s degree in computer science, engineering, or related field
- 4+ years of professional experience in data engineering and software architecture shipping production level code, preferably in healthcare services
- Strong programming skills (Python, Pyspark, or similar) with proven experience in building and scaling reusable, testable, and maintainable data pipelines
- Experience designing and optimizing data models, warehouses, and/or lakehouses
- Familiarity with modern data platforms and cloud ecosystems (ex. Palantir Foundry, DBT, Databricks, Snowflake, AWS/GCP/Azure).
- Track record of ensuring data quality, governance, and reliability
- Ability to balance high-level architecture with tactical execution
In accordance with the Illinois Pay Transparency Act, we’re providing the full salary range for this position. Actual compensation will be determined based on location, relevant experience and qualifications. Most offers will fall within a portion of the listed range. This position has a salary range of $150,000-190,000 annually, based on location, relevant experience and qualifications. In addition to base salary, we offer a comprehensive benefits package that includes:
- Paid holidays + PTO
- Company sponsored medical, dental, and vision insurance for you + your family
- FREE short-term and long-term disability insurance
- FREE $100k life insurance policy
- 401k plan with 4% company match + no vesting period
- $720 - $1,000 added to employee Health Savings Account annually for eligible health plans
- And more!
At Hopscotch Primary Care, we embrace diversity, invest in a culture of inclusion and positivity and encourage all to apply to join our team. You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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