Software Engineer, Data Ingestion

Staff Software Engineer – Data Ingestion Team (Slack)

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. The infrastructure currently handles 180PB+ of storage, processes ~1T records a day, 400+ data pipelines and 1000+ Active Airflow DAGs. The goal is to build a highly scalable and resilient ingestion platform leveraging modern streaming and lakehouse technologies.

• 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)
• Lead technical initiatives independently, collaborating with cross-functional partners as a tech lead
• Coach and mentor other engineers across the team and organization
• Write, review, or provide feedback on a technical design proposal from others

• U.S. citizenship and willingness to undergo a background check for Gov Slack 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
• Hands‑on experience and knowledge on building and maintaining batch data pipelines using Spark, Airflow, EMR, S3 or equivalent
• Proficiency in object‑oriented and/or functional programming languages: SQL, Python, Java/Scala, Go or equivalent
• Skilled at crafting and building robust distributed microservices with tools like Kubernetes, Docker, AWS ECS/EKS, Terraform, Grafana, etc.
• Familiarity with AI‑assisted software development and automation and hands‑on experience with Claude Code/Codex or equivalent
• Excellent written and verbal communication and interpersonal skills; able to effectively collaborate with cross‑functional partners and explain sophisticated technical concepts to non‑technical stakeholders

If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form.

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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)
• An employee stock purchasing program

The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.