Job Details

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Sr. Software Engineer, Data Orchestration (Airflow) - Slack

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Job Description

Senior Software Engineer, Data Orchestration (Airflow) - Slack

Location: Remote (Chicago, IL preferred)

Employment Type: Full-time

Salary Range: $184,000 - $253,000 (plus equity and benefits)


About Slack (Salesforce)

Slack, a Salesforce company, is a leading platform for team collaboration, empowering businesses with AI, data, and CRM capabilities. We process 65PB+ of data, 900B+ records per day, and maintain a high-throughput analytics system that supports millions of users worldwide.


Role Overview

We are seeking a Senior Software Engineer, Data Orchestration (Airflow) to enhance and maintain our real-time analytics and data ingestion infrastructure. You will work with OLAP databases, large-scale ETL pipelines, and orchestration tools like Apache Airflow to ensure efficient, scalable, and reliable data workflows.


Key Responsibilities

  • Develop and maintain real-time analytics and low-latency data access layers using OLAP solutions (e.g., Apache Pinot, Apache Druid).
  • Optimize end-to-end data workflows, improving pipeline efficiency and usability for data users.
  • Enhance data quality and reliability by implementing robust monitoring and failure detection.
  • Lead technical initiatives, collaborating with cross-functional teams to improve Slack’s data platform.
  • Mentor junior engineers, drive best practices, and contribute to team growth.
  • Participate in on-call rotations, handling system escalations and automated alerts.


Required Qualifications

  • 5+ years of experience in data engineering or data infrastructure.
  • Hands-on experience with Apache Airflow or similar orchestration tools.
  • Experience with OLAP databases (e.g., Apache Pinot, Apache Druid) for real-time analytics.
  • Strong background in cloud infrastructure (AWS preferred).
  • Expertise in building large-scale ETL pipelines and big data architectures.
  • Proficiency in Python, Java, or Scala and familiarity with Chef, Terraform.
  • Experience with Docker, Kubernetes, AWS ECS/EKS for managing distributed microservices.
  • Strong CI/CD, automation, and operational excellence skills.
  • Excellent communication skills with the ability to collaborate across teams and explain complex concepts.


Preferred Qualifications

  • Experience working in high-scale, data-intensive environments.
  • Ability to quantify high-impact initiatives, break them down, and drive execution.
  • Strong problem-solving mindset with a passion for data-driven decision-making.


Why Join Slack?

  • Innovate at scale: Work on some of the world’s most complex and high-volume data systems.
  • Competitive salary, equity, and benefits with long-term career growth.
  • Remote-friendly role with opportunities to collaborate across global teams.
  • Be part of a diverse and inclusive team at Salesforce, a leader in AI-driven business solutions.


How to Apply

If you're passionate about big data, real-time analytics, and scalable data orchestration, apply today to shape the future of Slack’s data infrastructure

Job Overview

  • Job Posted

    3 months ago

  • Job Types

    Full Time, Remote

  • Salary

    184K - 253K Year

  • Job Location

    Chicago, IL ·

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Slack

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