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Superlanet

Senior Databricks Data Engineer / Data Architect – Finance

Reposted 20 Hours Ago
Remote
Hiring Remotely in USA
70-81 Hourly
Senior level
Remote
Hiring Remotely in USA
70-81 Hourly
Senior level
The role involves building and maintaining financial data pipelines in Databricks, bridging Snowflake, and ensuring data accuracy for finance reporting.
The summary above was generated by AI

This is a remote position.

Superlanet is seeking a Senior Data Engineer or Architect to support our well known healthcare client in Northern California. This role supports financial data pipelining. This is a 5 month contract with high possibility of extension. 

Immediate execution and Snowflake–Databricks bridging are mandatory.

Key Responsibilities

  • 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

Required Qualifications 
  • 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

  • Strong communication skills with the ability to interact directly with business and technical stakeholders

Preferred Qualifications

  • Healthcare finance or revenue-cycle data exposure

  • Experience with platform transitions or vendor exits

  • Workday Financials Experience 



Benefits
Pay rate based on experience. $70.00 - $81.00/hr 

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