Hopscotch Primary Care

Senior Data Engineer

Vaga remota de Data Engineering com fit claro de localização do candidato.

Publicada19 de jul. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Estados Unidos

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

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

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

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!

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