Senior Data Engineer, Databricks – Finance
Superlanet
contract
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $70 - $85 per hour
Job Level
Senior
Tech Stack
CloudPySparkSparkSQL
About the role
- Build and maintain financial and funds-flow pipelines in Databricks
- Bridge Snowflake and Databricks to support finance reporting and reconciliation
- Partner with finance stakeholders to validate logic and outputs
- Ensure auditability, accuracy, and reliability of financial data
- Contribute to platform standards and best practices
Requirements
- 5+ years of data engineering or data architecture experience
- Proficiency with Databricks, Spark, and cloud-based data engineering platforms
- Strong SQL and data modeling experience
- Hands-on, production experience building and supporting Databricks pipelines (PySpark / Spark)
- Demonstrated ability to support data integration and reporting in enterprise environments
- Experience bridging Snowflake and Databricks environments
- Healthcare industry experience
Benefits
- Pay rate based on experience
- Superlanet is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architectureDatabricksSparkSQLdata modelingPySparkdata integrationreporting
Soft skills
collaborationvalidationauditabilityaccuracyreliability