Employee Success Senior Data Engineer
Core
Build and harden data foundations for Salesforce's Employee Success product, engineering end-to-end pipelines and analytics frameworks to support AI-driven agents and organizational metrics.
Role type
Senior IC data engineer (employee success domain)
Builds
High-availability data pipelines, logical/physical data models, and graph databases for the Employee Success landscape
Domain
HR Technology / People Analytics / AI Infrastructure
Deliverable
production ML models | product features
Required skills
ETL/ELT development, advanced SQL, data modeling (Star/Snowflake schema), Apache Airflow, Snowflake, Python, Bash, Informatica, dbt, CI/CD pipeline management, Git version control, API integration
Preferred skills
Salesforce Data360, Neo4j, Tableau optimization, People Analytics domain expertise, Workday familiarity
Technologies
Snowflake, Neo4j, Apache Airflow, Salesforce Data360, AWS (Lambda, S3), Informatica, dbt, Tableau
Responsibilities
Architect and optimize complex ETL/ELT pipelines using Apache Airflow and Python; Design and implement robust data models within Snowflake and Salesforce Data360; Build and manage Neo4j data graphs and optimize Cypher queries; Manage CI/CD pipelines and Git version control for data assets; Design reusable automation frameworks for data ingestion; Lead QA testing and optimize data storage/retrieval; Build high-throughput APIs for data exchange between Snowflake, AWS, and Salesforce Data360; Collaborate with HR business partners to translate functional needs into technical requirements
Seniority
Senior, hands-on IC