Superlanet

Advisory, Staffing, and Multi-State Employer of Record Solutions for Clinicians, by Clinicians.

Senior Data Engineer, Databricks – Finance

Data EngineerData EngineerContractRemoteTeam 51-200Since 2017H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

86 days ago

Salary

$70 - $85 / hour

5 yrs expEnglishCloudPy SparkSparkSQL

Job Description

• 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

Job Requirements

  • 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

Benefits

  • Pay rate based on experience
  • 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.

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