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 CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce 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 were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces 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 staff software engineer to join the Data Ingestion Team. As part of the Data Engineering organization, we build and operate the platform that ingests data from various sources into our Data Warehouse with both streaming and batch approaches. Currently, our infrastructure handles 180PB+ of storage, processes ~1T records a day, 400+ data pipelines and 1000+ Active Airflow DAGs. As Slack’s data grows (along with the number of customers, features and employees), the goal of the team is to build a highly scalable and resilient ingestion platform leveraging modern Streaming and Lakehouse technologies.As a Staff Engineer, you will play a key role in driving our streaming and lakehouse strategies while also building highly scalable services and tools to help our customers acquire large volumes of high quality data at scale and making customers’ interactions with the ingested data pleasant and productive. You will have deep technical skills, be a self-starter, detail and quality oriented, and passionate about driving data driven decisions and having a huge impact at Slack!<h2>What you will be doing</h2><ul><li>Design and develop highly scalable and resilient streaming and batch services for ingesting and processing structured and unstructured datasets</li><li>Design and implement Slack’s Lakehouse solutions and enable production use cases for customers</li><li>Automate and handle the lifecycle of datasets (schema evolution, metadata management, change and backfill management, deprecation and migration).</li><li>Improve the data quality and reliability of the pipelines through proper monitoring and alerting.</li><li>Comfortably collaborate with cross functional partners and lead technical initiatives independently end to end.</li><li>Be a role model and a multiplier, coaching and mentoring other engineers across the org.</li><li>Write, review, or provide feedback on a technical design proposal from others.</li></ul><h2>What you should have</h2><ul><li>7+  years of software/data engineering experience, including experience with building applications using Streaming and Lakehouse technologies, e.g. Kafka/Kafka Connect, Flink/Spark Streaming, Iceberg/Hudi/Delta or equivalent</li><li>You have good experience and knowledge on building and maintaining batch data pipelines using Spark, Airflow, EMR, S3, etc.</li><li>You are proficient in object-oriented and/or functional programming languages: SQL, Python, Java/Scala, Go or equivalent</li><li>You are skilled at crafting and building robust distributed microservices with tools like Kubernetes, Docker, AWS ECS/EKS, Terraform, etc.</li><li>You have strong dedication to code quality, automation and operational excellence: CI/CD pipelines, unit/integration tests.</li><li>You have excellent written and verbal communication and interpersonal skills; able to effectively collaborate with cross functional partners and explaining sophisticated technical concepts to non-technical stakeholders</li><li>You have high growth expectations for yourself and your team, and a willingness to push yourself and your team to achieve them</li><li>Bachelors degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience</li></ul>Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we seek to be smart, humble, hardworking and, above all, collaborative.Unleash Your PotentialWhen 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.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this <a href="https://careers.mail.salesforce.com/accommodations-request-form" target="_blank">Accommodations Request Form</a>.Posting StatementSalesforce 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. <a target="_blank" href="https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal">Know your rights: workplace discrimination is illegal.</a> 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.<h3></h3><h3></h3><h3></h3><h3></h3>For Washington-based roles, the base salary hiring range for this position is $211,500 to $306,600.<h3></h3><h3></h3>For California-based roles, the base salary hiring range for this position is $230,800 to $334,600.<h3></h3><h3></h3>

Salesforce

Staff Software Engineer, Data Engineering

Salesforce

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