Senior Data Engineer

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. The Team The Metrics Foundations team is part of Slack's Data Engineering organization within Data & Insights and works closely with Product, GTM, Data Science, and Analytics teams to ensure Slack remains a data-driven company. Data Engineering builds and operates the infrastructure that powers Product, Analytics, Marketing, Sales, and Operations, serving as a foundational pillar for Slack and one of the most highly leveraged teams in the company. The Metrics Foundations team builds trusted, reusable datasets and metrics that enable fast, reliable, data-informed decision-making. We partner with Product, Data Science, Analytics, and Engineering teams to define and manage critical product and business metrics through centralized governance, ensuring high data quality, consistency, and adherence to targeted SLAs (service-level agreements). The Experience As a Senior Data Engineer, you play a critical role in building the trusted data foundation that powers decision-making across Slack. You champion data quality, governance, and reliability while designing and scaling data models, pipelines, and metric systems that provide consistent and timely access to business insights. You work cross-functionally with business domain experts, Product, Analytics, Data Science, and Engineering teams to understand complex business problems and translate them into scalable data models and technical solutions. You design, build, and optimize data pipelines that transform billions of records into trusted, actionable datasets and metrics. You lead initiatives that establish and evolve data governance and management practices, improve the information lifecycle, and standardize critical company metrics. You also provide technical leadership and mentorship, helping teams across Slack build high-quality, reliable, and reusable data products. The ideal candidate brings deep technical expertise, strong business acumen, and a track record of operating effectively in complex and evolving data ecosystems. You are a self-starter who thrives on ambiguity, takes end-to-end ownership, and is passionate about building data foundations that have broad organizational impact. What You'll Actually Be Doing Partner closely with Product teams and business stakeholders to identify high-impact questions and translate business needs into scalable data models, metrics, analyses, and technical solutions Partner with business domain experts, Data Analytics, Data Science, and Engineering teams to build foundational datasets that are trusted, well understood, aligned with business strategy, and enable self-service analytics Design, build, and scale data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets with measurable quality and predictable SLA performance Own the end-to-end lifecycle of metrics, analytical models, and data products, from initial exploration and prototyping through production, adoption, and ongoing maintenance Leverage AI-assisted development to accelerate engineering productivity while maintaining high standards for code, data quality, and maintainability, and build data foundations that enable automation and AI-native insights and decision-making Lead and influence the data strategy across multiple teams, domains, and use cases, driving alignment on scalable technical foundations and long-term investments Drive initiatives that expand access to trusted company metrics, enabling self-service analytics and faster, more consistent decision-making across Slack Establish, document, and promote data engineering best practices across Slack Mentor engineers and provide hands-on technical guidance, helping raise the technical bar across the organization You're Our Person If... You have 8+ years of overall software engineering or data engineering experience, including 5+ years of hands-on experience with data architecture, data modeling, data management, and metadata management You can independently structure and own ambiguous, high-impact problems from initial framing through technical strategy, execution, and measurable outcomes You bring strong autonomy, resourcefulness, and creativity when navigating complex technical, operational, and stakeholder constraints You have deep expertise in SQL and proven experience designing scalable data pipelines and data transformations that operate reliably across large and complex datasets You have a proven track record of architecting and optimizing data models, schemas, and processing workflows to improve performance, scalability, cost efficiency, and reliability in modern data warehouse environments You can influence technical direction and drive alignment across Engineering, Product, Data Science, Analytics, and business stakeholders without relying solely on formal authority You are proficient in at least one programming language commonly used in Data Engineering, such as Python or Java You have hands-on experience with large-scale data technologies and platforms such as Snowflake, Spark, Airflow, and Hive You have experience working with relational and NoSQL data stores and a range of data modeling approaches, including logging, columnar, star and snowflake schemas, and dimensional modeling You are familiar with data governance frameworks, software development lifecycle (SDLC) practices, and Agile methodologies You have excellent written and verbal communication skills, with the ability to influence and collaborate effectively with technical and business stakeholders at all levels Even Better If... You have a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent training, fellowship experience, or relevant professional experience 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.