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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Data Platform - **Company:** Function Health - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, BigQuery, Data Infrastructure, Python (Programming Language), Operational Databases, SQL Databases, Data Streaming, Feature Store, Data Processing, Snowflake, Agentic-AI, Apache Kafka, Spark Streaming, Machine Learning Operations, Terraform, Databricks - **Published:** November 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ee35bcb718e80988 ## About the Role * Built internal platform or infrastructure that other engineers actually adopted. You've felt the difference between shipping a tool and getting it used. * Operated production data or ML systems, on call for them, and fixed them under pressure. * Strong Python and SQL. Comfortable in a lakehouse - we use Databricks; Snowflake or BigQuery translates fine. * Designed interfaces and schemas that other teams depend on, then evolved them without breaking those teams. * Thought hard about testing and CI for data or ML, where correctness is statistical and the failure is often silent. * 8+ years of engineering experience gets you here, but we care about what you've built, not the number., While the core competencies are essential, the following qualifications will distinguish exceptional candidates: * Declarative pipeline frameworks (dbt, DLT, Dagster, Airflow) * Streaming (Kafka, Spark Structured Streaming) * Data contracts, data diffing, or lineage tooling * Terraform * Feature stores * MLOps and eval tooling * Agentic coding workflows * Healthcare * PHI, or HIPAA experience ## Description At Function, the person who best understands a piece of data is rarely the person who can safely change it. A data scientist knows exactly how a biomarker should be derived. A clinician knows which reference range is wrong. Today, both have to file a ticket and wait for an engineer. We think that's a platform failure, not a process problem. Our job is to build the paved road that lets the subject matter expert make the change themselves - and lets an agent make it too - without anyone lying awake wondering about the validity or stability of what just shipped. That means the guardrails have to be real: declarative contracts instead of hand-rolled code, CI that diffs the data and not just the diff, validations that gate promotion, lineage that tells you who's downstream, and a rollback that takes one command. Get that right and both your humans and your agents get faster at the same time, for the same reason. That's the work. It's platform engineering, and the users are engineers., Three surfaces, all with the same goal - make the safe path the fast path: * Tracking infrastructure. The event pipeline behind product analytics, experimentation, and feature gates. Schemas that are enforced at the source, so a bad event never becomes a bad metric. * Data processing infrastructure. The Bronze Silver Gold layer in Databricks. Automated schema evolution, contract tests, backfills that aren't scary, freshness and volume monitors generated from the contract rather than bolted on after. * ML infrastructure. Feature computation and serving, training and eval pipelines, and the plumbing that gets model output back into the product - with the same testing and observability bar as everything else. * Cutting across all three. The self-service story. Templates, local dev and preview environments, policy-as-code for PHI, ownership routing for alerts, and progressive gates so an exploratory model ships freely while a member-facing one earns more scrutiny., + We don't let perfect get in the way of progress. + We move quickly to drive value, not perfection. + We prioritize what drives impact. + We never compromise on standards of excellence. * Member-First, Always: + We design and deliver like we're caring for someone we love. + We create calendar, actionable, human experience. + We prioritize responsiveness, peace of mind, and outcomes. + We empower members with truth, clarity, and care. * One Team, Moving Fast: + We are aligned in purpose, prioritization, and speed. + We gather diverse perspectives to make informed decisions. + We clear paths for each other and move fast together. + We communicate clearly and respectfully, rallying around shared goals. * Radical Ownership, Relentless Execution: + We don't just ship- we own outcomes and drive results. + We act with urgency and precision + We anticipate, initiate, and follow through. + We meet challenges with grit and pragmatism. + We embrace new tech to deliver better outcomes. * Mission Over Ego: + We are ruthlessly aligned to our mission - and leave ego at the door. + We disagree and commit. + We don't tolerate politics or withholding information. + We operate with honesty, transparency, and respect. * Sustained Integrity in Every Detail: + We earn trust by obsessing over accuracy, quality, and clarity in everything we do. + We prioritize clinical precision - data must be right. + We sweat the details because outcomes depend on them.