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Salesforce

Sr. Data Engineer, Enterprise - Slack

Posted 21 Days Ago
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In-Office
San Francisco, CA, USA
173K-286K Annually
Senior level
In-Office
San Francisco, CA, USA
173K-286K Annually
Senior level
Designs and maintains scalable batch and real-time data pipelines, reusable data models, and foundational datasets for Slack’s enterprise customers. The role optimizes schemas, SQL, ETL workflows, and data warehouse environments while establishing governance, documentation, SLAs, and engineering best practices. It partners with product, analytics, business, and engineering teams and contributes to GovSlack initiatives supporting regulated organizations.
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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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 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

What You Should Have:
  • 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

Bonus Points
  • Hands-on experience with Spark SQL, AWS (S3, EMR), Apache Pinot, or Hadoop/Big Data ecosystems

  • Experience with Flink or other real-time stream processing frameworks

  • Proficiency in Scala

  • Familiarity with cloud platforms (AWS, GCP, or Azure)

  • Experience with NoSQL data stores

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. 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. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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