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Sr Software Engineer - Data Internal Tools

Slack (Salesforce)

Sr Software Engineer - Data Internal Tools

Slack (Salesforce)

3 Locations

·

On-site

·

Full-time

·

2w ago

Compensation

$172,500 - $260,100

Benefits & Perks

Healthcare

Dental

Vision

Mental Health

Paid Parental Leave

Life Insurance

Disability Insurance

401(k)

Equity

Healthcare

Mental Health

401k

Equity

Required Skills

Python

Go

PHP

Systems Design

Backend Architecture

React

TypeScript

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.

Slack is looking for a Senior 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 Senior 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're 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, Big Query, 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).

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 require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

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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About Slack (Salesforce)

Slack (Salesforce)

The Customer Company - CRM, AI, Data, Trust.

10,001+

Employees

San Francisco

Headquarters

Reviews

2.4

9 reviews

Work Life Balance

1.5

Compensation

2.5

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Team collaboration and working well together

Company growth and business performance

Job satisfaction when helping people

Cons

Invasive employee monitoring and surveillance systems

Toxic and unprofessional management behavior

Poor work-life balance with unrealistic expectations

Salary Ranges

421 data points

Senior/L5

Senior/L5 · Senior Business Intelligence Analyst

1 reports

$163,804

total / year

Base

$142,438

Stock

-

Bonus

-

$163,804

$163,804

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 33%

Neutral 0%

Negative 67%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Multiple Technical Interviews

5

System Design Interview

6

Behavioral Interview

7

Offer

8

Background Check

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR

Past Experience