Software Engineer, Data Platform-Slack (Senior SWE/Staff SWE)

California - San Francisco, United States

Salesforce

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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Slack is looking for a software engineer to join the Data Tools team. 

At Slack, data is at the core of every product decision we make. The Data Tools team sits at the intersection of product development and data infrastructure, enabling Slack to build a truly data-driven culture. We build and maintain critical internal tooling for dashboards, query interfaces, metadata management, alerting systems, and visual analytics. These tools are used daily by analysts, data scientists, product managers, and engineers to explore data, monitor product performance, and derive insights that directly impact the customer experience.

We're looking for a Staff Software Engineer who combines deep technical expertise with a product mindset, thrives in highly collaborative environments, and is excited to help scale a platform used by hundreds of internal stakeholders.
You are independent and passionate about having a huge impact at Slack. You will translate complex business requirements into scalable technical solutions and deliver impactful products and tools for data analysis to support the business.


What you will be doing

* Architect and build scalable backend systems, APIs, and services that support our growing suite of internal data tools.
* Drive the development of reliable infrastructure to support querying, alerting, metadata tracking, and dashboarding at scale.
* Collaborate cross-functionally with Data Scientists, Product Managers, Software Engineers, and Analysts to define and deliver high-impact tools.
* Translate complex, evolving business requirements into clean, maintainable, and scalable technical solutions
* Champion UI and contribute to the design of front-end interfaces that empower technical and non-technical users to access and explore data.
* Improve the observability, reliability, and performance of our internal data platforms.
* Champion engineering excellence, data best practices, and a product-first mindset across the team.

What you should have

* Strong programming skills in languages like Python, Go, or PHP, with a deep understanding of systems design and backend architecture.
* Worked with modern data infrastructure tools like Airflow, dbt, Kafka, Spark, BigQuery, or Snowflake.
* Familiarity with container orchestration (e.g., Kubernetes, AWS) and infrastructure-as-code tools (e.g., Terraform, Ansible).
* Exposure to modern UI technologies such as React or TypeScript, and an understanding of how backend systems interface with user-facing tools.
* Experience building internal platforms or developer tools that scale across teams.
* Ability to lead and mentor across projects, contributing not just code but vision and direction.
* Excellent communication skills — you can articulate technical concepts to non-technical stakeholders and align cross-functional teams
* A Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience

Bonus Points For

* Experience in building self-service analytics platforms.
* Prior experience in data-intensive environments or product analytics.
* Passion for developer and analyst productivity, and building tools that people love to use.
* Hands-on experience with production LLM workflows, including AWS Bedrock and Retrieval-Augmented Generation (RAG).

Accommodations

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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.

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.

For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.

For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.
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Tags: Airflow Ansible APIs Architecture AWS BigQuery Computer Science CX Data analysis dbt Engineering Kafka Kubernetes LLMs PHP Python RAG React Salesforce Snowflake Spark Terraform TypeScript

Perks/benefits: Career development Equity / stock options Salary bonus Startup environment

Region: North America
Country: United States

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