Job Details
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
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