Raydar
Senior Data Engineer II
$145K–$207K
United States · Remote · Senior · Full-time · Posted Aug 25, 2026
- Experience
- 6 to 9 years as a data engineer or data platform engineer.
- Visa sponsorship
- US work authorization required; no current or future visa sponsorship.
About the job
Own the architecture and operation of data pipelines and platform improvements, while leading technical initiatives, mentoring engineers, and building practical AI-powered tools.
What you'll do
- Own architecture across data ingestion, transformation, modeling, and serving; improve platform efficiency, reliability, access control, and observability.
- Lead cross-functional technical initiatives, improve orchestration, CI/CD, data access, and developer experience, and mentor engineers.
- Build monitoring, testing, alerting, and practical AI-powered tooling and automation.
What they ask for
- 6 to 9 years of experience as a data engineer or data platform engineer.
- Strong hands-on SQL and Python skills.
- Production experience with containerized data infrastructure, including deployment and operational troubleshooting, and with a pipeline orchestrator such as Airflow and a cloud data warehouse such as BigQuery.
- Track record of owning pipeline architecture end to end, explaining tradeoffs, and making sound decisions across freshness, cost, scalability, reliability, and simplicity.
Nice to have
- Experience with Kubernetes, Datadog, CI/CD, or warehouse-cost optimization.
- Familiarity with Salesforce data integrations or major data-platform migrations; experience coaching safe, validated uses of AI in data workflows.
Pay
$145K-$207K USD base salary
Tools
SQL, Python, Airflow, BigQuery, Kubernetes, Datadog, CI/CD, Salesforce
AI focus
Build practical AI-powered tooling and automation for the broader team; coaching engineers on safe, validated AI use in data workflows is a bonus.
Model-written summary · the original posting is authoritative