Staff Software Engineer, Data Ingestion - Slack

Salesforce is the #1 AI CRM focused on customer success through innovation and AI-driven solutions. The company values ambition, trust, and continuous innovation, aiming to transform the future of work and AI.

Location: Remote (US)

Salary: $197,300 - $344,700 annually

Responsibilities

• 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).
• Collaborate with cross functional partners and lead technical initiatives independently end to end.
• Coach and mentor other engineers across the team and the organization.
• Write, review, or provide feedback on technical design proposals.

Requirements

• U.S. citizenship and willingness to undergo a background check for GovSlack authorization.
• 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.
• Proficient 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.
• Familiar with AI-assisted software development and automation and hands-on experience of 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.

Benefits

• Time off programs
• Medical, dental, vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program