Software Engineer II
Core
Develop instrumentation standards, build scalable analysis pipelines, and create tools enabling data teams to access trusted datasets and metrics independently.
Role type
Analytics Engineer / Data Solutions Engineer
Builds
Scalable analysis pipelines, tooling for metric investigations, and processes for data access
Domain
Data Engineering / Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, R, ETL/ELT pipelines, workflow orchestration, DAG dependencies, query optimization, data partitioning, data quality assessment, metric definition, AI integration, data validation
Preferred skills
Experience with nested data structures, window functions, translating open-ended needs into technical objectives, critical evaluation of AI-assisted work
Technologies
SQL, Python, R
Responsibilities
Develop and document instrumentation and experimentation standards; Build and improve scalable analysis pipelines and tooling; Create tools enabling data scientists to access trusted datasets independently; Identify data quality and discoverability gaps; Maintain documentation for tools, datasets, and metrics; Collaborate with cross-functional teams to communicate insights; Use AI to accelerate analysis while verifying correctness and quality
Seniority
Mid-level (2+ years experience), hands-on IC