Senior Data Engineer, Databricks – Data Architect
Superlanet
contract
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $70 - $85 per hour
Job Level
Senior
Tech Stack
PySparkSparkSQL
About the role
- Rapidly design and implement Databricks data pipelines (Spark / PySpark) for marketing use cases
- Bridge Snowflake and Databricks environments to enable seamless data movement and analytics
- Ingest and model marketing data (CRM, campaigns, digital, attribution, engagement)
- Support the handoff of in-flight work from Health Catalyst
- Partner directly with marketing stakeholders to translate needs into execution
- Stabilize and secure the Databricks platform to support downstream analytics
- Ensure data quality, performance, and documentation standards
Requirements
- 5+ years of data engineering or data architecture experience
- Hands-on, production experience with Databricks
- Strong SQL and PySpark
- Experience with marketing analytics data
- Healthcare industry experience
- Excellent communication and stakeholder-facing skills.
Benefits
- 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
DatabricksSparkPySparkSQLdata pipelinesdata modelingdata qualityperformance optimizationdocumentation standards
Soft skills
communicationstakeholder management