Senior Data Ingestion Engineer – Streaming & Lakehouse

Slack; Bellevue (WA); On-site; USD 173,000 - 260,000; Full time

Job summary

Salesforce's Slack Data Ingestion Team is seeking a Senior Software Engineer to design and operate scalable streaming and batch pipelines that ingest diverse datasets into a Lakehouse. You’ll drive production-ready solutions, mentor peers, and collaborate with cross-functional partners to deliver high-quality data tooling for customers.

You’ll contribute to pipeline reliability, ML/AI-assisted automation, and end-to-end ownership of data ingestion infrastructure, with the opportunity to shape

Qualifications

• 7+ years in software/data engineering with streaming and lakehouse tech.
• Experience building batch pipelines with Spark, Airflow, S3.
• Proficiency in SQL, Python, Java/Scala, or Go.

Responsibilities

• Design scalable streaming and batch pipelines for ingesting datasets.
• Design and implement Lakehouse solutions for production use cases.
• Improve reliability with AI-assisted and agentic solutions.
• Automate and handle dataset lifecycle: schema evolution, metadata, backfill, migration.
• Lead technical initiatives end-to-end with cross-functional partners.
• Mentor engineers and review technical designs.

Skills

Streaming & Lakehouse technologies

Distributed systems

SQL

Python/Java/Scala

Go

Tools

Kafka

Airflow

Spark

Kubernetes

Docker

AWS (ECS/EKS)

Job description

Salesforce's Slack Data Ingestion Team is seeking a Senior Software Engineer to design and operate scalable streaming and batch pipelines that ingest diverse datasets into a Lakehouse. You’ll drive production-ready solutions, mentor peers, and collaborate with cross-functional partners to deliver high-quality data tooling for customers.

You’ll contribute to pipeline reliability, ML/AI-assisted automation, and end-to-end ownership of data ingestion infrastructure, with the opportunity to shape