Senior Data Ingestion Engineer - Lakehouse & Streaming

100 Salesforce, Inc.; Atlanta (GA); On-site; USD 155,000 - 190,000; Full time

Job summary

Salesforce, Inc. is seeking a Senior Software Engineer for the Data Ingestion Team to design scalable streaming and batch data pipelines and Lakehouse solutions. You will own end-to-end features, mentor peers, and collaborate across teams to deliver high-quality data platforms.

The role focuses on building resilient ingestion services at scale, handling 180PB+ storage, and driving AI-assisted improvements while aligning with Salesforce's values and goals in Atlanta and beyond.

Qualifications

• 7+ years of software/data engineering experience with streaming and lakehouse tech.
• Hands-on with batch data pipelines using Spark, Airflow, EMR and S3.
• Proficient in SQL, Python, Java/Scala, and Go.

Responsibilities

• Design and develop scalable streaming and batch pipelines for ingestion and processing.
• Design and implement Lakehouse solutions and enable production use cases for customers.
• Improve reliability and performance with AI-assisted and agentic solutions.
• Automate dataset lifecycle including schema evolution, metadata management, backfill and migrations.
• Lead technical initiatives end-to-end and collaborate with cross-functional partners.
• Mentor engineers and provide feedback on designs.

Skills

7+ years software/data engineering

Streaming technologies

Lakehouse platforms

SQL

Python

Java/Scala

Go

Distributed systems

Tools

Kafka

Kafka Connect

Flink

Spark Streaming

Iceberg

Hudi

Delta Lake

Airflow

EMR

S3

Kubernetes

Docker

Terraform

Grafana

AWS

Python

Java/Scala

Go

Job description

Salesforce, Inc. is seeking a Senior Software Engineer for the Data Ingestion Team to design scalable streaming and batch data pipelines and Lakehouse solutions. You will own end-to-end features, mentor peers, and collaborate across teams to deliver high-quality data platforms.

The role focuses on building resilient ingestion services at scale, handling 180PB+ storage, and driving AI-assisted improvements while aligning with Salesforce's values and goals in Atlanta and beyond.