Senior Data Engineer — Real-Time Pipelines & GovSlack

Salesforce; San Francisco (CA); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Medical Care

Life Insurance

Retirement Savings

Employee Assistance Programs

13 paid days off per year

Job summary

Salesforce is seeking a Data Engineer on the Enterprise team to design, build, and scale batch and real-time data pipelines. You will partner across business, analytics, and engineering teams to deliver high-quality data foundations and support GovSlack initiatives for government agencies.

You will translate complex requirements into scalable data models, ensure data quality under SLAs, and drive data strategy across multiple teams to enable trusted metrics for decision-makers.

Qualifications

• Hands-on expertise with relational modeling approaches and data architectures.
• Experience designing scalable data pipelines for batch and real-time processing.
• Strong Python and SQL programming skills.
• Experience with Airflow or similar workflow orchestration tools.
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with Flink or real-time stream processing frameworks.

Responsibilities

• Design, build, and scale batch and real-time data pipelines.
• Partner with stakeholders to translate requirements into scalable data models.
• Develop trusted datasets aligned with business strategy.
• Champion data strategy and promote best practices across teams.
• Expand access to core metrics through robust data foundations.

Skills

Python

SQL

Airflow

Spark SQL

AWS

Data Modeling

Scala

Tools

Hadoop/Big Data ecosystems

Pinot

Job description

Salesforce is seeking a Data Engineer on the Enterprise team to design, build, and scale batch and real-time data pipelines. You will partner across business, analytics, and engineering teams to deliver high-quality data foundations and support GovSlack initiatives for government agencies.

You will translate complex requirements into scalable data models, ensure data quality under SLAs, and drive data strategy across multiple teams to enable trusted metrics for decision-makers.