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Software EngineeringJob Details
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Role Description:
This role is for a Tableau Core Quality (Q3) Engineering Team that helps build high-quality analytics that is mission-critical for our customers’ and partners’ businesses. Our goal is to ensure the best quality product gets delivered to our Customers on-time and everytime. We are looking for multiple Q3 Engineers (MTS) with strong communications and inter-personal skills and with a self-starter attitude to help us build world class Analytics Products.
As a Q3 engineer you will collaborate with cross-functional teams and will influence the design and drive our # value Trust across teams. You will need to have hands-on programming experience (Java, Python) and need to know how to produce a good test plan/spec. You will help the organization develop customer centric quality aware culture. You will be responsible for proposing and developing the tools and testing frameworks requirements, to improve engineers productivity in environment setup, automation testing. You will build, enhance, monitor and maintain necessary test automation infrastructure to support this effort.
Responsibilities:
- Deep dive into customer issues and investigations to identify root cause and help with solving the problem.
- Analyze and build prevention plans to reduce customer issues.
- Interface with customers to understand real life usage, build test cases
- Build tools, frameworks, infrastructure to improve product quality
- Implement testing standards and guidelines for specified testing approaches for data pipeline, ELT dataflows and data visualizations
- Lead initiatives to boost tooling, automation and integration speed focusing on developer productivity, release velocity and product quality
- Execute Testing with complex org setup, varied data shapes
- Monitor product and/or feature-level quality health metrics (testability, test health, test coverage, etc)
- Be responsive to bugs and prioritized customer investigations.
- Work closely with cross-functional teams across geographies.
- BS or MS in Computer Science, or related technical discipline, or equivalent practical experience.
- Excellent interpersonal and communication skills
- Self-starter, who can work independently, able to learn quickly, meets deadlines and demonstrates problem-solving skills.
- Deep knowledge of object-oriented programming and other scripting languages: Java, Python, C#.; Deep understanding of software development best practices
- 3+ years of experience in testing analytical applications, data visualizations, data pipelines, and machine-learning models
- Experience with cloud technology including AWS, Azure and/or GCP
- Familiarity with Database Services in the Cloud
- Proficient in writing functional & End to End test automation (UI/API) , Selenium etc
- Experience working with large datasets including data modeling, logical schema design, ETL/ELT, and developing data pipelines for structured, semi-structured and unstructured data
- Languages/Frameworks: Java, Python, JavaScript
- Technologies/Tools:Selenium, Git, TeamCity, Linux, etc
- Experience with data query languages (e.g. SQL, Pig, etc.) and understanding of relational/ columnar.
- Experience in product development companies preferred
- Ability to manage assigned projects, meet deadlines, and adapt to changing priorities
Nice to Have Qualifications:
- Experience working with large datasets including data modeling, logical schema design, ETL/ELT, and developing data pipelines for structured, semi-structured and unstructured data
- Experience with cloud technology including GCP, AWS and/or Azure
- Familiarity with Machine learning & AI assisted tooling (Cursor, MCP, CoPilot)
- Development experience would be an advantage
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
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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.
Salesforce Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.
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Fair & Transparent Compensation — Pay is positioned as above-market in the U.S., with multiple peer-reported benchmarks converging around a similar median total compensation figure. Compensation is also framed as broadly viewed as fair in aggregate, even while acknowledging variation by role and group.
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Parental & Family Support — Parental leave is described as notably generous for U.S. caregivers, with additional supports like gradual return-to-work and doula reimbursement. Family-building programs are also emphasized through fertility/adoption/surrogacy support with sizeable reimbursement limits.
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Wellbeing & Lifestyle Benefits — Mental-health and coaching offerings are highlighted as accessible supports alongside financial-wellbeing tools. Volunteer Time Off and donation matching are presented as distinctive lifestyle-aligned benefits that add value beyond cash compensation.
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