Staff Software Engineer, Data Platform

Function Health

. Build platform engineering infrastructure that enables data scientists, clinicians, engineers, and agents to safely modify data .

Posted 11/6/2026full-timeRemote • United States, CanadaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining platform engineering infrastructure for data processing and ML systems, with a strong focus on Python, SQL, and Databricks. Capable of implementing automated processes and ensuring compliance with data governance standards in healthcare environments.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyDatabricks ExperienceML Infrastructure DevelopmentData Governance Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Platform EngineeringData Processing InfrastructureAutomated Schema EvolutionFeature ComputationTesting and CI for Data SystemsEvent Schema EnforcementData ContractsIncident ResolutionData AnalyticsInterface Design

Tools & Technologies

DatabricksSnowflakeBigQueryDbtDLTDagsterAirflowKafkaSpark Structured StreamingTerraform

Industry Keywords

HealthcarePHIHIPAAMLOpsData LineageData DiffingProgressive DeploymentOwnership RoutingVolume MonitoringFreshness Monitoring

Tech Stack

Tools & technologies

AirflowBigQueryKafkaPythonSnowflakeSparkSQLTerraform

About the role

Key responsibilities & impact

Build platform engineering infrastructure that enables data scientists, clinicians, engineers, and agents to safely modify data
Develop tracking infrastructure for product analytics, experimentation, and feature gates
Enforce event schemas at the source
Build Databricks Bronze, Silver, and Gold data processing infrastructure
Implement automated schema evolution, contract tests, safe backfills, freshness monitoring, and volume monitoring
Build ML infrastructure for feature computation and serving, training and evaluation pipelines, and model-output integration into products
Develop self-service templates, local development and preview environments, policy-as-code for PHI, ownership routing for alerts, and progressive deployment gates
Implement declarative contracts, data-focused CI diffs, validation gates, lineage, and one-command rollback capabilities

Requirements

What you’ll need

Built internal platform or infrastructure adopted by other engineers
Operated production data or ML systems, including on-call responsibility and incident resolution
Strong Python and SQL
Experience with Databricks or equivalent lakehouse platforms such as Snowflake or BigQuery
Designed and evolved interfaces and schemas without breaking dependent teams
Experience with testing and CI for data or ML systems
8+ years of engineering experience
Nice to have: dbt, DLT, Dagster, Airflow, Kafka, Spark Structured Streaming, data contracts, data diffing, lineage tooling, Terraform, feature stores, MLOps and evaluation tooling, agentic coding workflows, healthcare, PHI, or HIPAA experience

Benefits

Comp & perks

Competitive salary and benefits package
Flexible working hours
Dynamic work environment where creativity and innovation are encouraged