Senior Data Ingestion Engineer — Streaming & Lakehouse

Slack; San Francisco (CA); On-site; USD 173,000 - 286,000; Full time

Job summary

Slack is seeking a senior software engineer to join the Data Ingestion Team. You will design and build scalable streaming and batch pipelines and help shape Slack's Lakehouse platform to ingest data from diverse sources. You will drive end-to-end initiatives and mentor engineers across the org.

You are a hands-on leader with deep technical skills, capable of collaborating with partners and delivering high-quality, data-driven solutions that scale with customer needs.

Qualifications

• 7+ years of software/data engineering experience with streaming and lakehouse tech.
• Hands-on with batch pipelines using Spark, Airflow, EMR, S3 or equivalent.
• Proficient in SQL, Python, Java/Scala, Go.
• Experience building distributed microservices with Kubernetes, Docker, AWS.

Responsibilities

• Design and develop scalable streaming and batch pipelines for ingesting data.
• Design and implement Lakehouse solutions for production use cases.
• Improve reliability and performance with AI-assisted tools and automation.
• Automate dataset lifecycle: schema evolution, metadata, migration.
• Collaborate with cross-functional partners and lead initiatives end to end.
• Mentor engineers across the team and provide design feedback.

Skills

SQL

Python

Java/Scala

Go

Tools

Kafka

Kafka Connect

Flink

Spark Streaming

Iceberg

Hudi

Delta

Airflow

EMR

S3

Job description

Slack is seeking a senior software engineer to join the Data Ingestion Team. You will design and build scalable streaming and batch pipelines and help shape Slack's Lakehouse platform to ingest data from diverse sources. You will drive end-to-end initiatives and mentor engineers across the org.

You are a hands-on leader with deep technical skills, capable of collaborating with partners and delivering high-quality, data-driven solutions that scale with customer needs.