Posted a month ago by

Data Engineer

Employment: Full Time Experience: Senior

This position reports to the Senior Director, Data & Analytics.

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Top 10 reasons to work for GitLab:

1. Work with helpful, kind, motivated, and talented people.
2. Work remote so you have no commute and are free to travel and move.
3. Have flexible work hours so you are there for other people and free to plan the day how you like.
4. Everyone works remote, but you don't feel remote. We don't have a head office, so you're not in a satellite office.
5. Work on open source software so you can interact with a large community and can show your work.
6. Work on a product you use every day: we drink our own wine.
7. Work on a product used by lots of people that care about what you do.
8. As a company we contribute more than we take, most of our work is released as the open source GitLab CE.
9. Focused on results, not on long hours, so that you can have a life and don't burn out.
10. Open internal processes: know what you're getting in to and be assured we're thoughtful and effective

See our culture page for more!

  • Ensure the Company’s cloud and on-premise data is centralized into a single data warehouse that can support data analysis requirements from all functional groups of the Company.
  • Create a common data framework so that all company data can be analyzed in a unified manner.
  • Build data pipelines from internal databases and SaaS applications (SFDC, Zuora, Marketo, Zendesk, etc.) to populate and feed our data warehouse with high quality, consistent data.
  • Drive the creation of architecture diagrams and systems documentation that can be understood and used by business users and other GitLabbers.
  • Help to develop and execute a roadmap for system expansion, evaluate existing systems and ensure future systems are aligned with the Company’s data architecture plan.
  • Implement a set of processes that ensure any changes in transactional system architecture are documented and their impact on the company’s overall data integrity are considered prior to changes being made.
  • Collaborate with all functions of the company to ensure data needs are addressed.
  • 2+ years hands-on experience in a data analytics or data warehousing role.
  • Demonstrably deep understanding of SQL and relational databases (Postgres preferred).
  • Experience with a high growth company using on-premise tools and on-demand (SaaS) transactional systems.
  • Hands-on experience with Python, SQL, and ETL tools like Talend/Kettle, Boomi, Informatica Cloud, etc. Experience with Postgres is a plus.
  • Be Passionate about data, analytics, and automation.
  • Experience with open source data warehouse tools.
  • Strong data modeling skills and familiarity with the Kimball methodology.
  • Experience with Salesforce, Zuora, Zendesk and Marketo as data sources and consuming data from SaaS application APIs.
  • Share and work in accordance with our values.
  • Must be able to work in alignment with Americas timezones.
  • Successful completion of a background check.
Hiring Process

Applicants for this position can expect the hiring process to follow the order below. Please keep in mind that applicants can be declined from the position at any stage of the process. To learn more about someone who may be conducting the interview, find her/his job title on our

-Selected candidates will be invited to schedule a 30 minute screening call with our Recruiters
-Next, candidates will be invited to schedule a 45 minute first interview with our Sr. Director of Data & Analytics
-Candidates will then be invited to schedule a 45 minute second interview with our CFO
-Candidates will then be invited to schedule a 45 minute third interview with our Sr. Director of Demand Generation
-Finally, candidates may be asked to schedule a 50 minute final interview with our CEO

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