Design, build, and operate foundational data-heavy services: storage, orchestration, batch processing, streaming services, query federation and caching, time-series db, graph db, and real-time event aggregation stores
Build and maintain data integration & process SDKs for internal services and product teams
Design and build self-service applications for managing and troubleshooting data pipelines
Design and build services for end-to-end data security and observability
Convert functional requests from data analysts, ML, and security & compliance into reusable patterns

Requirements

5+ years of experience in software engineering
Strong Python, Go, or Java backend development skills
General experience working with data systems or data pipelines
Familiarity with design patterns such as scale-out, caching, key/value, and columnar
Leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonGoJavaSQLAirflowdata integrationdata pipelinesdesign patternsbatch processingstreaming services