Senior Enterprise Data Engineer — Real-Time Pipelines

salesforce.com, inc.; San Francisco (CA); On-site; USD 173,000 - 260,000; Full time

Job summary

Salesforce is seeking a Data Engineer to join the Enterprise Data Engineering team. You will design and scale batch and real-time data pipelines, partner with analytics and product teams, and contribute to GovSlack initiatives ensuring data governance and reliability across the organization.

You will work with Airflow, Spark SQL, AWS, and Hadoop ecosystems, applying strong Python/SQL skills in a fast-paced data-driven environment.

Qualifications

• 5+ years of experience in data architecture, data modeling, master data management, or metadata management.
• Relational modeling: columnar, star schema, snowflake, and dimensional modeling.
• Proven track record optimizing schemas, tuning SQL, and scaling ETL pipelines in OLAP and data warehouse environments.
• Experience with Airflow or a comparable workflow orchestration platform for data pipeline management.
• Strong proficiency in Python and SQL.
• Familiarity with data governance frameworks, SDLC, and Agile methodologies.
• Excellent written and verbal communication skills with the ability to partner effectively across technical and business teams.
• U.S. citizen or lawful permanent resident, willing to undergo a background check for GovSlack authorization.

Responsibilities

• Translate complex business requirements into scalable, reusable data models.
• Design, implement, and maintain data pipelines that deliver high-quality data under defined SLAs.
• Partner with product, analytics, and engineering teams to build trusted datasets aligned with business strategy.
• Champion data strategy across multiple teams and use cases, driving consistency and reliability at scale.
• Expand access to core company metrics through strong technical and process foundations.
• Identify, document, and promote data engineering best practices across Slack.

Skills

Data architecture

Data modeling

SQL

Python

Airflow

Data governance

SDLC

Agile methodologies

Communication

Tools

Airflow

Spark SQL

AWS

Hadoop

Scala

Job description

Salesforce is seeking a Data Engineer to join the Enterprise Data Engineering team. You will design and scale batch and real-time data pipelines, partner with analytics and product teams, and contribute to GovSlack initiatives ensuring data governance and reliability across the organization.

You will work with Airflow, Spark SQL, AWS, and Hadoop ecosystems, applying strong Python/SQL skills in a fast-paced data-driven environment.