Analytics Engineer

OverviewJoin to apply for the Analytics Engineer role at Retool.About Retool: Nearly every company runs on custom software. Retool is building a development platform that combines visual drag-and-drop tooling with code-based customization and AI to make it dramatically faster to build internal tools. Our customers range from small startups to Fortune 500 companies, and we seek to empower teams with a data-driven approach to decision making.What You'll DoBuild and maintain scalable ETL pipelinesDesign our Analytics and Business Intelligence architecture, assessing and implementing new technologies where fittingCollaborate with engineering teams to ensure robust instrumentation across areas of the productBecome a subject matter expert on Retool’s data sources, maintain data lineage documentation, and promote transparency for end usersSupport data governance, ensuring alignment with data privacy standards and regulationsParticipate in code reviews and adhere to coding standards and best practicesPartner with business teams to deploy robust reports and analyses, surfacing key insights that shape Retool’s futureDevelop dashboards and define metrics that drive key business decisionsTake ownership of the data stack to ensure teammates can access the data they need and that technical teams can implement events efficientlyWho You'll Work WithAs part of our data team, you’ll work with stakeholders across finance, marketing, engineering, product, operations, and support, joining a broader team passionate about serving customers and building an innovative product.The Skillset You'll BringBackground in Analytics Engineering, Business Intelligence, Data Engineering, or Data AnalyticsIdeally 4+ years of experience managing and building large, complex data sets across multiple sourcesStrong SQL and data modeling skills with practical data modeling approachesExperience implementing data quality frameworks with automated testing and monitoringCommitment to creating data documentation for self-service analyticsAbility to optimize cloud database performance through query tuning and thoughtful designExcellent business acumen to translate stakeholder requirements into data modelsHands-on experience with data orchestration/transformation tools (e.g., dbt, Dagster, Airflow)Experience with cloud data warehouses (Databricks, Snowflake)Familiarity with git workflows and scripting languages (Python and/or R)Skilled at data visualization and communicating insights to varied audiencesGrowth mindset, self-starter, and collaborativeData-driven problem solving and systems thinkingStartup experience preferred but not requiredStandout Candidates Will BringDeep dbt knowledge and ability to write maintainable jinja for dbt deploymentsExperience influencing and developing relationships to foster a data-driven cultureDeep experience with Spark/Databricks SQL and Delta LakeExperience with the Databricks platform (Unity Catalog, Workflows, DLT, MLflow)UX-minded experience designing usable data productsExperience modeling data for complex, technical products, especially developer toolsCompensation and BenefitsFor candidates based in San Francisco, pay ranges are provided for base salary and on-target earnings (OTE) where applicable. Compensation may vary by location, scope, responsibilities, and experience. Additional compensation may include equity and bonuses. Retool offers comprehensive benefits (medical, dental, vision, 401(k)) and hybrid work options. Details are on the careers page. #J-18808-Ljbffr

Created: 2025-09-21