Senior Staff Engineer, Data Platform

Qualified Health PBC; United States; Hybrid; USD 215,000 - 235,000; Full time

Benefits offered by this job

Equity

Health insurance

Flexible working hours

Hybrid work options

Job summary

Qualified Health is hiring a Senior Staff Engineer to set the technical direction for the Data Platform. You will own the Databricks lakehouse architecture, governance, and data pipelines, and you will build AI pipelines alongside it using Temporal for durable orchestration.

You will lead cross-team initiatives, craft designs, and raise engineering effectiveness while staying hands-on with the hardest parts of the codebase.

Qualifications

• Bachelor's degree or higher in a related field.
• 12+ years of software or data engineering experience in production data platforms.
• Experience with regulated domains (Healthcare, Insurance, Finance) is required.
• Hands-on Databricks expertise strongly preferred (Snowflake/Microsoft Fabric aligned).
• Experience building ML/LLM pipelines and using AI tooling.

Responsibilities

• Own the Databricks lakehouse architecture (bronze, silver, gold) and governance.
• Design and optimize Spark/SQL pipelines on Databricks; ensure quality and cost efficiency.
• Define data contracts, access controls, and PHI-aware governance.
• Build AI pipelines and Temporal workflows for durable orchestration.
• Lead agentic engineering efforts: tooling, prompts, guardrails, reviews, tests.
• Set technical direction; write designs and drive multi-team alignment.
• Mentor engineers and communicate trade-offs across teams.

Skills

Databricks

Python

SQL

Spark

Delta Lake

Unity Catalog

Temporal

LLM pipelines

agentic engineering

cross-team collaboration

data governance

PHI governance

Education

Bachelor's degree in Computer Science, Electrical Engineering, Mathematics or related field

Tools

Snowflake

Microsoft Fabric

Databricks Delta Live Tables

Airflow

Kubernetes

Job description

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring, working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Job Summary

We are hiring a Senior Staff Engineer to set the technical direction for the Data Platform and to build it hands-on. Databricks is the center of the role: you will own the architecture of our lakehouse and the data pipelines, governance, and performance that run on it. In addition, you will build and run the AI pipelines that sit alongside it, using Temporal for durable orchestration. You will work across product, AI, and engineering pods, and you will raise the bar for how the whole team builds, including how we use AI coding agents to ship faster and with higher quality.

You set platform-wide strategy and architecture across multiple teams. You anticipate problems a year or more out, shape the roadmap with leadership, and measurably raise engineering effectiveness across the organization, while staying close enough to the code to build the hardest parts yourself.

Key Responsibilities

• Own the lakehouse. Architect and evolve our Databricks lakehouse, including medallion layering (bronze, silver, gold), Delta Lake, Unity Catalog governance, and workspace and compute strategy.

• Build and tune Databricks pipelines. Design, build, and optimize Spark and SQL pipelines on Databricks, including incremental processing, data quality enforcement, performance tuning, and cost management.

• Make data trustworthy. Define data contracts, quality checks, access controls, and PHI-aware governance in partnership with security and compliance.

• Power AI and LLM workloads. Build the data foundations for AI products: LLM-ready datasets, retrieval and vector-store pipelines, evaluation data, and the interfaces that let AI and product teams consume governed data safely.

• Build AI pipelines on Temporal. In addition to Databricks, design durable workflows on Temporal for AI pipelines: scheduled and watermarked pulls from Databricks gold tables, file-ingestion workflows, and long-running LLM extraction and enrichment jobs. Establish patterns for retries, idempotency, versioning, and backfills, and keep the handoff between Databricks and Temporal clean, observable, and well governed.

• Lead agentic engineering. Use AI coding agents daily and define how the team does agentic development: tooling, prompts, guardrails, code review practices, and test strategy for agent-written code.

• Set technical direction. Write and review technical designs, set platform-wide standards, and make build-versus-buy decisions that hold up over multiple years.

• Multiply the team. Mentor engineers across teams, unblock other pods, and communicate trade-offs clearly to technical and non-technical stakeholders.

Required Qualifications

• Bachelors Degree in Computer Science, Electrical Engineering, Mathematics or a related field

• At least 12+ years of software or data engineering experience, with a track record of designing and operating production data platforms at scale and of setting architecture across multiple teams.

• Experience working in a highly regulated domain (Healthcare, Insurance, Finance) is required

• Deep, hands-on expertise with Databricks is highly preferred but expertise in Snowflake or Microsoft Fabric would be aligned as well.

  • Experience with the lakehouse stack: Spark, Delta Lake, Unity Catalog, Workflows or equivalent, and performance and cost tuning at scale.

• Experience building pipelines for ML or LLM applications, such as LLM-based extraction, embeddings and vector search, feature pipelines, or evaluation datasets.

• Fluency in Python and SQL, with sound software engineering practices: testing, CI/CD, infrastructure as code, and code review.

• Demonstrated practical use of agentic coding tools (such as Claude Code or similar) in real delivery work, and good judgment about when to trust, verify, and constrain them.

• Experience owning ambiguous, cross-team problems end to end and influencing without direct authority.

• Clear written and verbal communication, including authoring design docs that others build from.

Desirable Qualifications

• Experience with healthcare data: claims, EHR, FHIR or HL7, and HIPAA-compliant handling of PHI.

• Databricks certifications or experience with Delta Live Tables, Lakeflow, or Databricks Asset Bundles.

• Experience with other orchestrators (Airflow, Dagster, Prefect) and a view on when each is the right tool.

• Experience with cloud infrastructure (GCP, AWS, or Azure), Terraform, and Kubernetes.

• Contributions to open-source data, workflow, or AI infrastructure projects.

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals, so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options, and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits

The pay range for this role is between $215,000 - $235,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI.