Software Engineering Lmts Data Engineer

Salesforce

Not specified (assumed flexible/hybrid based on industry norms).
Sql (postgresql)
Python
Aws (redshift, kinesis)
Salesforce is seeking a Senior or Lead Data Engineer to join their Heroku team, focusing on designing and scaling automated data pipelines on AWS to support Salesforce Data Cloud. The ideal candidate should have extensive experience in data engineering, a strong command of SQL and Python, and the ability to collaborate effectively across teams

Job Summary

  • The Heroku team at Salesforce is seeking a Senior or Lead Data Engineer to design and scale automated data pipelines on AWS (Redshift, Kinesis) to power insights for Salesforce Data Cloud.
  • You will be responsible for the end-to-end data lifecycle—from real-time ingestion via APIs and Eventbus to complex ETL processing and data modeling—ensuring high-quality data is available for Analytics and Data Science teams.
  • Salesforce is on a mission to accelerate our own Digital Transformation to empower our customers and fuel our growth.

Matching Summary

Match Score: 85

Salesforce is seeking a Senior or Lead Data Engineer to join their Heroku team, focusing on designing and scaling automated data pipelines on AWS to support Salesforce Data Cloud. The ideal candidate should have extensive experience in data engineering, a strong command of SQL and Python, and the ability to collaborate effectively across teams.

Skills & Requirements

Must-have

  • SQL (PostgreSQL)
  • Python
  • AWS (Redshift, Kinesis)
  • ETL processes
  • API-based and Eventbus ingestion
  • orchestration tools (Airflow, Dagster)

Nice-to-have

  • team-first mentality
  • self-starter
  • comfortable with ambiguity
  • interpersonal skills
  • innovative solutions
  • tight deadlines

Key Requirements

  • 6+ years of experience
  • Mastery of SQL
  • Proficiency with Python
  • Experience with orchestration tools
  • Proficiency with API-based and Eventbus ingestion

Work Rights

Not specified

Tailored Resume

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