✦ Luna Orbit — Data & Analytics

Senior Data Engineer

at Salesforce

📍 California - San Francisco Unknown 💰 $123K – $186K USD / year Posted March 28, 2026
Salary $123K – $186K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves designing and managing large-scale data pipelines, migrating data systems, and automating data workflows to support finance and operational reporting across the organization.

  • Manage and build data pipelines
  • Migrate data infrastructure
  • Ensure data accuracy and timeliness
  • Automate data processes
  • Collaborate with stakeholders

The environment includes Snowflake, dbtCloud, Python, and Salesforce, focusing on data engineering, automation, and infrastructure migration.

The ideal candidate is a senior data engineer with extensive experience in SQL, Snowflake, and data pipeline development, capable of managing large datasets and migrating data infrastructure. They should have strong collaboration skills and a proactive approach to process improvement.

SQLSnowflakedbtPythonData pipelinesData modeling
InformaticaELTData migrationAutomationFinance data
SalesforceSnowflakedbtCloudPython
SQLSnowflakedbtPythonETL pipelinesData pipelinesData modelingData migrationData infrastructureData automation
SQLSnowflakedbtPythonETL pipelinesData pipelinesData modelingData migrationData infrastructureData automation
collaborationcommunicationproblem-solvingprocess improvementstakeholder management
Industry SaaS
Job Function Data engineering and infrastructure migration
Role Subtype Data Engineer
Tech Domains SQL / PostgreSQL, Snowflake, Python, ETL / Data pipelines
Data EngineerSQLSnowflakedbtPythonETL pipelinesData pipelinesData modelingData migrationData infrastructureData automationFinance dataData analyticsData engineeringData pipelines automation

Lack of experience with Snowflake or dbt, No SQL expertise, No data pipeline experience, Unwillingness to work in San Francisco

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