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About the Role
As a Data Engineer on the Enterprise team at Slack, you will partner cross-functionally with business stakeholders, analytics teams, and backend engineers to design, build, and scale both batch and real-time data pipelines. You will 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 will also be a core contributor to GovSlack, an initiative to establish feature parity for U.S. government agencies and highly regulated organizations, supporting national infrastructure.
Responsibilities
- 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 engineering teams to build trusted, well-documented foundational 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
Requirements
- 5+ years of experience in data architecture, data modeling, master data management, or metadata management
- Hands-on expertise with relational modeling approaches — including 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
Skills
- Python
- SQL
- Spark SQL
- AWS (S3, EMR)
- Apache Pinot
- Hadoop/Big Data ecosystems
- Flink
- Scala
- AWS
- GCP
- Azure
- NoSQL data stores
Location
- San Francisco
- New York City
Work Type
- Full-time
Experience Level
- 5+ years of experience
Salary/Compensations
- $172,500 - $260,100 annually
- $207,800 - $285,800 annually in select cities within the San Francisco and New York City metropolitan area
Benefits
- Time off programs
- Medical
- Dental
- Vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
About the Company
- Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
- 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.
Equal Opportunity
- Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
- Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
- This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.
- It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
- Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
- The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
- In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience.
- Certain roles may be eligible for incentive compensation, equity, and benefits.
- Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.