Senior Databricks Data Engineer / Data Architect – Finance

Reposted 15 Days Ago
Hiring Remotely in USA
Remote
70-81 Hourly
Senior level
Healthtech • HR Tech • Information Technology • Professional Services
The Role
The role involves building and maintaining financial data pipelines in Databricks, bridging Snowflake, and ensuring data accuracy for finance reporting.
Summary Generated by Built In

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 

Skills Required

  • 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
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The Company
0 Employees

What We Do

Superlanet is a clinician-led healthcare workforce solution and IT consulting company that provides highly skilled talent, strategic solutions, and talent acquisition services to healthcare organizations.

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