Staff Software Engineer, Data Ingestion - Slack

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 the team 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 Lakehouse 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 Software 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! What you will be doing: • Design and develop highly scalable and resilient streaming and batch pipelines for ingesting and processing structured and unstructured datasets • Design and implement Slack’s Lakehouse solutions and enable production use cases for customers • Improve the reliability and performance of the services/pipelines through AI assisted and/or Agentic solutions and tools. • Automate and handle the lifecycle of datasets (schema evolution, metadata management, change and backfill management, deprecation and migration). • As one of the tech leads, comfortably collaborate with cross functional partners and lead technical initiatives independently end to end. • Be a role model and a multiplier, coaching and mentoring other engineers across the team and the org. • Write, review, or provide feedback on a technical design proposal from others. What you should have: • U.S. citizenship and willing to undergo a background check for GovSlack authorization. We can not provide visa sponsorship for this role. • 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 • You have hands on experience and knowledge on building and maintaining batch data pipelines using Spark, Airflow, EMR, S3 or equivalent • You are proficient in object-oriented and/or functional programming languages: SQL, Python, Java/Scala, Go or equivalent • You are skilled at crafting and building robust distributed microservices with tools like Kubernetes, Docker, AWS ECS/EKS, Terraform, Grafana, etc. • You are familiar with AI-assisted software development and automation and have hands on experience of Claude Code/Codex or equivalent • 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 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 andbe your best, and our AI agents accelerate your impact so you cando 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 . 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 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.