Senior Databricks Data Engineer / Data Architect – Finance

 Posted 2 hours ago
     
 $70 - $81 per hour
  
5-10 years experience
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AI Summary

Build and maintain financial and funds-flow pipelines in Databricks while bridging Snowflake and Databricks for reporting. Partner with finance stakeholders to ensure the accuracy, reliability, and auditability of financial data.

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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