Intermediate Data Engineer
GitLab · Posted Nov 2
DevSecOps platform, software version control, CI/CD pipeline, and AI-assisted development services
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About the role
The Data Platform team within Enterprise Data is responsible for a scalable, reliable and secure data platform for data analytics at GitLab, managing both SaaS and self-managed infrastructure and the pipelines that bring data into it. The team makes data reliable, secure and ready for analytics, data science and AI tools, working fully remotely and asynchronously through issues, merge requests and the handbook. As an Intermediate Data Engineer you will build, run, and maintain ELT pipelines and infrastructure from enterprise applications, internal systems, and the GitLab SaaS platform, owning features end to end and using AI coding agents daily.
What you will do
- Build, extend, and maintain extract, load, transform (ELT) pipelines from enterprise applications such as Salesforce, Zuora, Zendesk, and Marketo, internal systems, and the GitLab SaaS platform. Integrate data through application programming interfaces (APIs) and event sources such as Snowplow.
- Manage and maintain the infrastructure behind the platform, including SaaS tools such as Snowflake, Fivetran, and Monte Carlo, and self-managed services such as Airflow and Kubernetes.
- Write maintainable, well-tested, performant Python and Structured Query Language (SQL) code that meets our internal standards, and review GitLab team members' merge requests.
- Own day-to-day platform operations: triage and resolve failed pipelines, infrastructure issues, and GitLab team member requests. Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient.
- Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners so data lands in the shape they need for downstream use.
- Use AI coding agents such as Claude Code, OpenCode, GitLab Duo, or similar tools to speed up development, debugging, testing, and documentation without compromising review rigor.
- Apply role-based access control (RBAC) and masking policies to make governed data available to AI tools and agents. Handle data subject to Sarbanes-Oxley (SOX) controls, material nonpublic information (MNPI), and personal data safely.
- Ship medium-sized features independently in small, iterative merge requests, and document architecture and runbooks in the handbook.
Skills used in this role
What the employer is looking for
- Professional experience shipping production data pipelines in Python.
- Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred.
- Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion.
- Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling.
- Experience running and troubleshooting data infrastructure, with comfort using Git-based workflows, continuous integration and continuous delivery (CI/CD), and code review.
- Hands-on experience using AI coding tools in your daily work, with an understanding of where they help and where they fall short.
- Clear written communication, the ability to use GitLab, and comfort working asynchronously in a fully remote organization in line with GitLab's values.
- Preferred, not required: experience with Snowflake; Docker, Kubernetes, Google Cloud Platform (GCP), or Terraform; SaaS application APIs such as Salesforce, Zuora, or Zendesk; data observability tooling; or Snowflake administration.
Benefits and support
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
About GitLab
GitLab is an intelligent orchestration platform for DevSecOps, delivered as a single application that empowers development, security, and operations teams to ship software faster and more securely. Operating as one of the world's largest all-remote companies, GitLab integrates the entire software lifecycle from planning and source code management to CI/CD and automated security testing. Millions of users and thousands of organizations globally rely on GitLab to scale their development workflows and adopt agentic AI engineering.
- Industry
- Software Development
- Company size
- 2375 employees
- Founded
- 2011
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $435M raised
- 2022-09-16Post IPOUndisclosed
- 2019-09-17Series E$268M
- 2018-09-19Series D$100M
- 2017-10-10Series C$20M
- 2016-03-15Series B$4M
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Technology Officer
Chief Product and Marketing Officer
Chief Business and Legal Officer
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