Sr. Data Engineer, Enterprise - Slack
Salesforce - California - San Francisco; Washington - Seattle; Virginia - Mclean
Posted May 13, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Source-linked last checked May 7, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked May 7, 2026.
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Schedule
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- Weekend work
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Application
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- Deadline
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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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