Staff Software Engineer, Data Ingestion - Slack

Staff Software Engineer, Data Ingestion - Slack

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Job Category

Software Engineering

Job Details

About Salesforce

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Slack is looking for a staff software engineer to join the Data Ingestion Team. As part of the Data Engineering organization, we build and operate the platform that ingests data from various sources into our Data Warehouse with both streaming and batch approaches. Currently, our infrastructure handles 65PB+ of storage, processes ~900B records a day, 400+ data pipelines and 900+ Active Airflow DAGs. As Slack’s data grows (along with the number of customers, features and employees), the goal of the team is to build a highly scalable and resilient ingestion platform leveraging modern Streaming and Lakehouse technologies.

As a Staff Engineer, you will play a key role in driving our streaming and lakehouse strategies while also building highly scalable services and tools to help our customers acquire large volumes of high quality data at scale and making customer’s interactions with the ingested data pleasant and productive. You will have deep technical skills, be a self-starter, detail and quality oriented, and passionate about driving data driven decisions and having a huge impact at Slack!

Here are a few blog posts that shed light into what we do here at Slack:

*If you're viewing this on a job board (LinkedIn, Indeed, etc.) please leverage the following link to access the blog posts below*

Data Lineage at Slack
Reliably Upgrading Apache Airflow at Slack's Scale
Introducing Data Residency for Slack
Data Wrangling At Slack

What you will be doing:

  • Design and develop highly scalable and resilient streaming services for ingesting and processing structured and unstructured datasets
  • Design and implement Slack’s Lakehouse solutions and enable production use cases for customers
  • Automate and handle the lifecycle of datasets (schema evolution, metadata management, change and backfill management, deprecation and migration).
  • Improve the data quality and reliability of the pipelines through properly monitoring and alerting.
  • Comfortably collaborate with cross functional partners and lead technical initiatives independently end to end.
  • Be a role model and a multiplier, coaching and mentoring other engineers across the org.
  • Write, review, or provide feedback on a technical design proposal from others.

What you should have:

  • 7+ years of software/data engineering experience, including experience with building applications using Streaming and Lakehouse technologies, e.g. Iceberg, Hudi, Delta, Kafka/Kafka Connect, Flink, Spark Streaming or equivalent
  • You are proficient in object-oriented and/or functional programming languages: SQL, Python, Java/Scala or Go
  • You have good experience and knowledge on building and maintaining batch data pipelines using Spark, Airflow, EMR, S3, etc.
  • You are skilled at crafting and building robust distributed microservices with tools like Docker, Kubernetes, AWS ECS/EKS, Terraform, etc.
  • You have strong dedication to code quality, automation and operational excellence: CI/CD pipelines, unit/integration tests.
  • You have excellent written and verbal communication and interpersonal skills; able to effectively collaborate with cross functional partners and explaining sophisticated technical concepts to non-technical stakeholders
  • You have high growth expectations for yourself and your team, and a willingness to push yourself and your team to achieve them
  • Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience


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Salesforce welcomes all.

For Colorado-based roles, the base salary hiring range for this position is $175,600 to $254,700.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link:
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