Staff Software Engineer

Staff Software Engineer, Data

Slack is looking for data engineers to join our Data Engineering team! We in the data warehouse team build core datasets that used across the company to calculate metrics that are critical to the business.

In this role, you will partner cross-functionally with business domain partners, analytics, and engineering to design and implement our Data Warehouse model. You will design, build and scale data pipelines that transform billions of records into measurable data that enable insights.

You will work on initiatives and provide hands-on technical support to create impact across Slack by building and scaling our core data model and key company metrics.

You have strong technical skills, you are comfortable contributing to an up-and-coming data ecosystem, and you can build a strong data foundation for the company. You are a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack!

What you will be doing

  • Translate business requirements into data models that are easy to understand and used by different subject areas
  • Design, implement and build pipelines that deliver data with measurable quality under the SLA
  • Work partner with product teams, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
  • Be a champion of the overall strategy for data across multiple teams and different use cases
  • Increase access to foundational company metrics through process and technical foundations
  • Identify, document and promote data engineering standard methodologies throughout Slack

What you should have

  • 6+ years of experience working in data architecture, data modeling, master data management, metadata management
  • Recent accomplishments working with relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
  • A proven track record in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in OLAP and Data Warehouse environments
  • Proven skills with either Python or Java programming language
  • Familiar with data governance frameworks, SDLC, and Agile methodology
  • Excellent written and verbal communication and interpersonal skills, and ability to efficiently collaborate with technical and business partners
  • Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark), which is a huge plus
  • Bachelor's degree in Computer Science, Engineering or a related field, equivalent training, fellowship, or work experience


Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?

Slack is registered as an employer in many, but not all, states. If you are not located in or able to work from a state where Slack is registered, you will not be eligible for employment.Visa sponsorship may not be available in certain remote locations.

Visa sponsorship is not available for candidates living outside the country of this position.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.


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