{"id":4138308,"url":"https://alion.io/job/qualified-health-remote-senior-staff-engineer-data-platform","title":"[Remote] Senior Staff Engineer, Data Platform","company":{"id":685969,"name":"Qualified Health","domain":"qualifiedhealthai.com","url":"https://alion.io/company/qualifiedhealthai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":103,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":215000,"max":235000,"currency":"USD","period":"year","gross":null,"usd_annual":235000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"FHIR","optional":false},{"name":"GCP","optional":false},{"name":"HIPAA","optional":false},{"name":"HL7","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"closed","first_seen_at":"2026-11-12T03:32:12Z","employer_posted_date":null,"last_verified_at":"2026-11-12T12:20:30Z","board_verified":false,"closed_at":"2026-11-12T12:20:30Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Note: The job is a remote job and is open to candidates in USA. Qualified Health is hiring a Senior Staff Engineer to set technical direction for its Data Platform and build its Databricks lakehouse, data pipelines, and AI workflows. The role also leads platform standards and agentic engineering practices while mentoring engineers and collaborating across teams.\n\nResponsibilities\nOwn the lakehouse. Architect and evolve our Databricks lakehouse, including medallion layering (bronze, silver, gold), Delta Lake, Unity Catalog governance, and workspace and compute strategy\nBuild 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\nMake data trustworthy. Define data contracts, quality checks, access controls, and PHI-aware governance in partnership with security and compliance\nPower 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\nBuild 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\nLead 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\nSet technical direction. Write and review technical designs, set platform-wide standards, and make build-versus-buy decisions that hold up over multiple years\nMultiply the team. Mentor engineers across teams, unblock other pods, and communicate trade-offs clearly to technical and non-technical stakeholders\n\nSkills\nBachelors Degree in Computer Science, Electrical Engineering, Mathematics or a related field\nAt 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\nExperience working in a highly regulated domain (Healthcare, Insurance, Finance) is required\nExperience with the lakehouse stack: Spark, Delta Lake, Unity Catalog, Workflows or equivalent, and performance and cost tuning at scale\nExperience building pipelines for ML or LLM applications, such as LLM-based extraction, embeddings and vector search, feature pipelines, or evaluation datasets\nFluency in Python and SQL, with sound software engineering practices: testing, CI/CD, infrastructure as code, and code review\nDemonstrated 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\nExperience owning ambiguous, cross-team problems end to end and influencing without direct authority\nClear written and verbal communication, including authoring design docs that others build from\nDeep, hands-on expertise with Databricks\nExpertise in Snowflake or Microsoft Fabric would be aligned as well\nExperience with healthcare data: claims, EHR, FHIR or HL7, and HIPAA-compliant handling of PHI\nDatabricks certifications or experience with Delta Live Tables, Lakeflow, or Databricks Asset Bundles\nExperience with other orchestrators (Airflow, Dagster, Prefect) and a view on when each is the right tool\nExperience with cloud infrastructure (GCP, AWS, or Azure), Terraform, and Kubernetes\nContributions to open-source data, workflow, or AI infrastructure projects\n\nBenefits\nEquity packages\nRobust medical/dental/vision insurance\nFlexible working hours\nHybrid work options\nAn inclusive environment that fosters creativity and innovation\n\nCompany Overview\nQualified Health develops artificial intelligence tools that support clinical decision-making and patient care management. It was founded in 2023, and is headquartered in Palo Alto, California, USA, with a workforce of 51-200 employees. Its website is https://www.qualifiedhealthai.com.\n\nCompany H1B Sponsorship\nQualified Health has a track record of offering H1B sponsorships, with 1 in 2025. 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