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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Internal Data Platform & Analytics - **Company:** Greenhouse Software, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, BigQuery, Code Review, Continuous Integration, Information Engineering, Data Infrastructure, Data Transformation, Dimensional Modeling, File Systems, Identity and Access Management, Python (Programming Language), Metadata, Operational Databases, Role-Based Access Control, Reliability Engineering, DataOps, SQL Databases, Parquet, Data Ingestion, Delivery Pipeline, Large Language Models, Data Layers, Api Design, Stream Processing, Data Pipelines, Programming Languages - **Published:** October 7, 2026 - **Apply:** https://job-boards.greenhouse.io/gleanwork/jobs/4739975005 ## About the Role * Minimum experience: 7-10 years overall, including at least 7 years of data engineering experience. * Strong Data engineering fundamentals and experience building production data systems. * An exceptionally high AI proficiency through habitual, high-value use of LLMs; sound judgment about when and how to apply them; rigorous validation and workflow improvement * Experience with SQL and Python, or comparable programming languages. * Experience with a cloud data warehouse, preferably BigQuery or a similar platform. * Experience with data transformation frameworks such as DBT, including testing and deployment workflows. * In Depth Understanding of Columnar File systems like parquet, Hudi Or Iceberg. * Understanding of dimensional modeling, data contracts, lineage, and data quality practices. * Experience designing or operating APIs, batch pipelines, or event-driven ingestion systems. * Ability to communicate technical trade-offs clearly and work effectively with internal stakeholders. * Ownership mindset: you can take a problem from discovery through implementation, rollout, and operational follow-through. * Ability to maintain a productive collaboration between IST and US PST time zones * Experience with BigQuery governance, IAM/RBAC, policy tags, masking, streaming systems or cost controls. * Experience building reusable data platform frameworks rather than one-off pipelines. * Familiarity with semantic layers, metric stores, or systems that make trusted data consumable by AI and analytics tools. * Experience with data observability, orchestration, CI/CD, or infrastructure-as-code. * Experience working in a fast-growing company where requirements and priorities evolve quickly. ## Description We are looking for an individual-contributor Data Engineer to help build and operate Glean's internal data platform. This is an internal-facing data platform role focused on analytics engineering for Glean's internal teams and not customer-facing implementation. The role will focus on reliable, governed, cost-efficient data infrastructure and analytics foundations used by internal teams across the company. You will work across data ingestion, transformation, modeling, quality, access governance, and platform reliability. This role is hands-on and well suited to an engineer who enjoys turning ambiguous data problems into durable systems and clear operating standards. This is an in-person role based in Bangalore, India, with regular office presence expected. You will: * Build and maintain reliable batch and API-based data ingestion pipelines. * Improve data quality through testing, continuous integration (CI) checks, ownership metadata, and clear layer boundaries. * Operate and improve BigQuery data infrastructure with an emphasis on performance and cost efficiency. * Implement data access controls, governance workflows, and safe self-serve access patterns. * Improve pipeline observability, failure classification, incident triage, and recovery processes. * Partner with Data Science, Business Intelligence, Finance, Sales Operations, Marketing, Security, Reliability Engineering, and other internal teams to understand data needs and deliver reusable platform capabilities. * Participate in design reviews, code reviews, documentation, and operational support for the data platform., At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.