Location: Elk Grove, CA
Salary: $160,000.00 USD Annually - $170,000.00 USD Annually
Description: Hybrid role 3X a week in office in Elk Grove, CA; no remote capabilitiesThis is a direct hire opportunity.Summary:
We're seeking a seasoned Senior Data Platform Engineer to design, build, and optimize scalable data solutions that power analytics, reporting, and AI/ML initiatives. This full-time role is hands-on, working with architects, analysts, and business stakeholders to ensure data systems are reliable, secure, and high-performing.
Responsibilites:
- Build and maintain robust data pipelines (structured, semi-structured, unstructured).
- Implement ETL workflows with Spark, Delta Lake, and cloud-native tools.
- Support big data platforms (Databricks, Snowflake, Google Cloud Platform) in production.
- Troubleshoot and optimize SQL queries, Spark jobs, and workloads.
- Ensure governance, security, and compliance across data systems.
- Integrate workflows into CI/CD pipelines with Git, Jenkins, Terraform.
- Collaborate cross-functionally to translate business needs into technical solutions.
Qualifications:
- 7+ years in data engineering with production pipeline experience.
- Expertise in Spark ecosystem, Databricks, Snowflake, Google Cloud Platform.
- Strong skills in PySpark, Python, SQL.
- Experience with RAG systems, semantic search, and LLM integration.
- Familiarity with Kafka, Pub/Sub, vector databases.
- Proven ability to optimize ETL jobs and troubleshoot production issues.
- Agile team experience and excellent communication skills.
- Certifications in Databricks, Snowflake, Google Cloud Platform, or Azure.
- Exposure to Airflow, BI tools (Power BI, Looker Studio).
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