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Senior Databricks Data Engineer / Data Architect – Finance

Role overview

Qualifications

  • 5+ years of data engineering or data architecture experience
  • Proficiency with Databricks, Spark, and cloud-based data engineering platforms; hands-on production experience building and supporting Databricks pipelines (PySpark / Spark)
  • Strong SQL and data modeling experience
  • Experience bridging Snowflake and Databricks environments

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

About the company

Superlanet logo

Superlanet

Information Technology & Services

Superlanet is a clinician-led, woman-owned healthcare consulting company based in San Diego, California, and currently services clients in all 50 states of the United States. We pride ourselves in providing highly skilled talent and strategic solutions to our partners in the healthcare industry. Most importantly, our team is passionate about improving patient and staff experiences while creating gateways for our customers to compete in a complex healthcare market.

Company details

Company typeScaleup
IndustryInformation Technology & Services
Company size51 - 200

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Job description

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 is critical to the end-of-January handoff from Health Catalyst, particularly for funds flow and financial data pipelines. This is an 8 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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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