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Sr. Data Engineer, Enterprise - Slack

Salesforce - California - San Francisco; Washington - Seattle; Virginia - Mclean

Posted May 13, 2026

Benefits

Parental leave
26 weeks From the posting source
Non-birth-parent leave
12 weeks From the posting source
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked May 7, 2026
Salary
$208K-$286K From the posting source
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

120% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source
Seniority
Senior From the posting source

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Data Engineer, Enterprise - Slack California - San Francisco; Washington - Seattle; Virginia - Mclean About the Team At Slack, data isn't just infrastructure - it's the engine behind every great enterprise decision. Our Data Engineering team builds the products and pipelines that power our largest customers, delivering the metrics and insights that drive how they work. We operate at massive scale, transforming billions of records into actionable intelligence, and we're looking for talented engineers to help us do it even better. As a Data Engineer on the Enterprise team, you'll partner cross-functionally with business stakeholders, analytics teams, and backend engineers to design, build, and scale both batch and real-time data pipelines. You'll contribute directly to initiatives that support key decision-makers within our enterprise customer base - helping them understand adoption, engagement, and the health of their Slack deployments. You'll also be a core contributor to GovSlack , our cross-team initiative to establish feature parity for U.S. government agencies and highly regulated organizations. This is high-visibility, high-impact work that matters beyond the product - it supports national infrastructure. We're looking for passionate, detail-oriented engineers who are excited about building a rock-solid data foundation and making a real impact at one of the world's most widely used collaboration platforms. What You'll Be Doing Translate complex business requirements into scalable, reusable data models that are easy to understand and adopted across subject areas Design, implement, and maintain data pipelines that deliver high-quality data under defined SLAs Partner with product, analytics, and

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