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$173k–$286k/yr
Full-time
Time off programs, Medical insurance, Dental insurance, Vision insurance, Mental health support, Paid parental leave
Posted 17d ago
Apply by Sep 30
~40 hrs/week
Responsibilities
Design, build, and maintain scalable batch and real-time data pipelines to support enterprise customer insights. Partner cross-functionally with analytics and engineering teams to establish robust data foundations and promote engineering best practices.
Requirements
Requires 5+ years of experience in data architecture, modeling, and ETL pipeline management. Proficiency in Python, SQL, and workflow orchestration tools like Airflow is essential.
Full job description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
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 andbe your best, and our AI agents accelerate your impact so you cando 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.
Related keywords
Data EngineeringEnterpriseSalesforceSlackAICRMData PipelinesBatch ProcessingReal-time ProcessingGovSlackData ModelingColumnarStar SchemaSnowflakeDimensional ModelingETL
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