Sr. Data Engineer, Enterprise - Slack

Salesforce

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$172,500–$260,100 / yr
Posted
34 days ago
Closes
Jun 25, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $216k
$132k most similar roles pay here $274k

This role pays more than 75% of similar roles. Most pay $146,012–$217,725 — the shaded band above. At the midpoint, this role pays about $216k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 135 open roles on FindRole.

Listed pay typically runs $171,200–$260,100 across 119 roles with salary data.

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At a glance

TL;DR · Sr. Data Engineer, Enterprise - Slack

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As a Senior Data Engineer on Slack’s Enterprise team, you will collaborate closely with business stakeholders and technical teams to design and implement scalable data pipelines for enterprise customers. Your daily tasks include translating complex requirements into robust data models, ensuring high-quality data delivery under strict SLAs, and championing best practices across multiple teams. You will work on initiatives like GovSlack, aiming to establish feature parity for U.S. government agencies, requiring expertise in relational modeling, schema optimization, and ETL pipeline scaling. Proficiency in Python, SQL, and Airflow is essential, along with experience in data governance and Agile methodologies. Bonus skills include familiarity with Spark SQL, AWS, Flink, and NoSQL databases, making this a high-impact role at the intersection of enterprise data management and national infrastructure support.

Skills

Python SQL Airflow Spark SQL AWS S3 EMR Apache Pinot Hadoop Flink Scala GCP Azure NoSQL

What you'll do

  • Translate complex business requirements into scalable, reusable data models.
  • Design and maintain high-quality data pipelines under strict SLAs.
  • Build trusted foundational datasets aligned with the company's business strategy.
  • Champion data strategy to ensure consistency and reliability at scale.
  • Expand access to core metrics through robust technical foundations.

What we're looking for

  • 5+ years of experience in data architecture and modeling
  • Expertise in relational modeling, SQL tuning, and ETL pipeline scaling
  • Hands-on experience with Airflow or similar workflow orchestration platforms
  • Strong proficiency in Python and SQL
  • Familiarity with data governance frameworks and Agile methodologies
  • Excellent communication skills for cross-team collaboration

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