Not specified (assumed to be hybrid based on salesforce's practices).
Sql (postgresql) mastery
Python proficiency
Aws redshift and kinesis experience
Salesforce is seeking a Senior or Lead Data Engineer for its Heroku team to design and scale automated data pipelines on AWS. The ideal candidate should have over six years of experience in data engineering, strong SQL and Python skills, and the ability to collaborate across teams while delivering innovative solutions
Job Summary
The Heroku team at Salesforce is seeking a Senior or Lead Data Engineer to design and scale automated data pipelines on AWS 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 an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
Matching Summary
Match Score: 85
Salesforce is seeking a Senior or Lead Data Engineer for its Heroku team to design and scale automated data pipelines on AWS. The ideal candidate should have over six years of experience in data engineering, strong SQL and Python skills, and the ability to collaborate across teams while delivering innovative solutions.
Skills & Requirements
Must-have
SQL (PostgreSQL) mastery
Python proficiency
AWS Redshift and Kinesis experience
Real-time data ingestion (APIs, Eventbus)
Orchestration tools (Airflow, Dagster)
Nice-to-have
Team-first mentality
Self-starter
Comfortable with ambiguity
Interpersonal skills
Innovative solutions under tight deadlines
Key Requirements
6+ years of experience
Mastery of SQL (PostgreSQL)
Proficiency with Python
Experience with orchestration tools like Airflow or Dagster
Experience with major ETL platforms
Proficiency with API-based and Eventbus real-time data ingestion