What are the responsibilities and job description for the Sr. Data Platform Engineer position at Judge Group, Inc.?
Job Details
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 capabilities
This 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:
Qualifications:
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
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 capabilities
This 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).
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $160,000 - $170,000