--- title: 'Intermediate Data Engineer at GitLab' canonical: 'https://feeny.ai/job/intermediate-data-engineer-gitlab-bengaluru-net6srtbf61z' type: 'job' last_seen: '2026-11-04' --- # Intermediate Data Engineer at GitLab - **Company:** GitLab - **Location:** Bengaluru, India - **Posted:** 2026-11-02 - **Last confirmed live:** 2026-11-04 - **Apply:** https://job-boards.greenhouse.io/gitlab/jobs/8924923002 ## Job description GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. [Co-create the future with us](https://www.youtube.com/watch?v=OuZIb5zszQI) as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Data Engineer at GitLab, you'll build, run, and maintain the pipelines and infrastructure that bring data from our enterprise applications, internal systems, and GitLab's software as a service (SaaS) platform into our data platform. Your work will power company reporting, data science, and artificial intelligence (AI) self-service. You'll own features end to end, from source integration to tested, monitored, documented data ready for use. You'll focus on keeping the platform reliable, secure, and cost-efficient as data volumes and AI usage grow, and making governed data ready for AI tools, agents, and Model Context Protocol (MCP)-based access. This is an AI-first role: you'll use AI coding agents every day while maintaining high standards for code review and testing. You'll report to the Director, Data Platform. ## What you’ll 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. ## What You'll Bring - 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. ## About the team The Data Platform team within Enterprise Data is responsible for a scalable, reliable and secure data platform for data analytics at GitLab. That includes managing and maintaining the infrastructure we use, both SaaS and self-managed, and building and maintaining the data pipelines that bring data into it. We make data reliable, secure and ready for analytics, data science and AI tools. As more questions go straight to AI tools and agents, the platform underneath has to be more reliable, better governed and more cost-efficient than ever. We're fully remote and globally distributed, and work asynchronously through issues, merge requests and the handbook. How GitLab Supports Full-Time Employees - [Benefits to support your health, finances, and well-being](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/) - [Flexible Paid Time Off](https://handbook.gitlab.com/handbook/people-group/time-off-and-absence/time-off-types/#flexible-paid-time-off-pto) - [Team Member Resource Groups](https://handbook.gitlab.com/handbook/company/culture/inclusion/tmrg-tmag/) - [Equity Compensation & Employee Stock Purchase Plan](https://handbook.gitlab.com/handbook/total-rewards/stock-options/) - [Growth and Development Fund](https://handbook.gitlab.com/handbook/people-group/learning-and-development/growth-and-development/) - [Parental Leave](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/#parental-leave) Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from [underrepresented groups](https://about.gitlab.com/company/culture/inclusion/#examples-of-select-underrepresented-groups) are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our [Recruitment Privacy Policy.](https://handbook.gitlab.com/handbook/hiring/candidate-faq/recruitment-privacy-policy/) Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also [GitLab’s EEO Policy](https://about.gitlab.com/handbook/people-policies/inc-usa/#equal-employment-opportunity-policy) and [EEO is the Law](https://about.gitlab.com/handbook/labor-and-employment-notices/#eeoc-us-equal-employment-opportunity-commission-notices). If you have a disability or special need that requires [accommodation](https://about.gitlab.com/handbook/people-policies/inc-usa/#reasonable-accommodation), please let us know during the [recruiting process](https://about.gitlab.com/handbook/hiring/interviewing/#adjustments-to-our-interview-process). ## About GitLab ## Company Overview - **One-liner**: GitLab provides an intelligent orchestration platform for DevSecOps, enabling teams and AI agents to plan, build, secure, and deploy software faster. - **Entity Type**: Public (NASDAQ: GTLB) - **Headquarters**: San Francisco, CA, USA - **Founded**: 2011 - **Founders**: Not explicitly listed in provided materials ## Core Business - Primary industry: DevSecOps, Software Development Lifecycle Platform - Target customers: Enterprise, SMB, B2B – used by over 100,000 organizations including large enterprises - Mission / Purpose: "Unlock every team to ship trusted software at the speed of imagination" ## Products & Services - **[GitLab Platform](https://about.gitlab.com/company/)**: Integrated DevSecOps/DevOps platform (SaaS and self-managed) covering source code management, CI/CD, security scanning, monitoring, and AI-powered features (e.g., Duo Agent). - **GitLab Duo**: AI-powered suite of tools for code generation, review, and automation across the software lifecycle. ## Market Standing - **Valuation / Market Cap**: Not disclosed in provided materials (public company – refer to NASDAQ: GTLB) - **Key Metrics**: Over 50 million registered users, 2,500+ team members, 5,500+ code contributors, 2,500+ consecutive monthly releases (as of June 2026) - **Notable Investors / Partners**: Public company; prior investors include Y Combinator (2015 cohort). Detailed list not provided. - **Growth Signals**: 100,000+ organizations use GitLab; continuous monthly releases since 2011; expanding AI capabilities (Duo Agent); certification as Great Place to Work (US & India, 2026–2027) ## Competitive Advantages - **All-in-one DevSecOps platform** that replaces multiple point tools, reducing complexity and toolchain friction. - **Strong open-source heritage** and community-driven innovation (5,500+ contributors). - **AI-first approach** with built-in agents for code generation, review, and security. - **Culture of transparency** – handbook-first, public-by-default documentation that scales remote work. ## Strategic Focus - **AI-powered software creation**: Deep integration of AI agents (Duo Agent) to accelerate development while maintaining security and compliance. - **Enterprise adoption**: Scaling to meet the needs of large, regulated organizations with compliance and security features. - **Remote-first operations**: Continuing to build and improve asynchronous, all-remote work culture as a competitive advantage. ## Why Work Here - **Fully remote**: 100% remote company from the start – work from anywhere; asynchronous and flexible schedules. - **Awards & recognition**: Great Place to Work Certified (US & India 2026–2027); BuiltIn Best Remote Places to Work 2026; Fortune Best Workplaces in Technology 2025. - **Benefits**: Equity compensation, Employee Stock Purchase Plan, generous paid time off, annual growth & development benefit, access to LinkedIn Learning and leadership programs. - **Inclusive culture**: Multiple Team Member Resource Groups, strong Diversity, Inclusion & Belonging (DIB) commitment. - **Learning & development**: Industry-leading leadership programs and platforms like LinkedIn Learning and Level Up. ## Sources 1. [about.gitlab.com](https://about.gitlab.com/jobs/) 2. [about.gitlab.com/company](https://about.gitlab.com/company/) 3. [handbook.gitlab.com](https://handbook.gitlab.com/handbook/people-group/employment-branding/content-library/) 4. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/gitlab/jobs/8481958002) 5. 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