Analytics Engineer

Analytics Engineer

Nearly every company in the world runs on custom software: Gartner estimates that up to 50% of all code is written for internal use. This is the operational software for refunding orders, underwriting loans, onboarding employees, analyzing transactions, and providing customer support. But most companies don't have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows.

At Retool, we're on a mission to bring good software to everyone. We're building a new type of development platform that combines the benefits of traditional software development with a drag-and-drop UI editor and AI, making it dramatically faster to build internal tools. We believe that the future of software development lies in abstracting away the tedious and repetitive tasks developers waste time on, while creating reusable components that act as a force multiplier for future developers and projects. The result is not just productivity, but good software by default. And that's a mission worth striving for.

Today, our customers span from small startups building their first operational tools to Fortune 500 companies building mission-critical apps for thousands of users across their business. Interested in joining us? Let us know!

Retool has set out to radically rethink how custom internal software is built. We've created a new type of development environment, combining visual, drag-and-drop manipulation with code-based customization. It seamlessly integrates with nearly any data source and enables instant deployment to end users. It's a force multiplier for developers building internal tools, dramatically faster and easier than writing software from scratch.

Retool is a fast-growing company with quickly evolving business needs. We're looking to hire an Analytics Engineer to help us build out our analytics and business intelligence systems to serve the needs of our business today and for a broader scale years from now. We're looking for someone who is ready to get their hands dirty, is motivated by having an impact on the business, and is constantly curious. This is the right role for someone who thrives while making sense of the blurry space that is data at a high-growth startup.

As an Analytics Engineer, you will build a foundation that strengthens Retool's data culture at scale. You'll initiate projects that solidify Retool's analytical and reporting capabilities and help the company remain data-driven. Our data team is in its early stages, so you will have the opportunity to help define our data team structure and operating rhythm for the future. You'll develop data sets to streamline operations, inform strategic priorities, and generate product insights. We'll look to you to define key metrics and create dashboards that empower stakeholders to make data-informed decisions. You'll also take ownership of our data stack to ensure that your teammates are able to access the data they need to make decisions and that technical teams are able to quickly implement events. We've already built out a solid stack on top of Confluent, Databricks, dbt, Polytomic, and of course, Retool, but we need your help to ensure it scales with the company as our user base grows.

As part of our data team, you'll work with stakeholders across the business, including finance, marketing, engineering, product, operations, and support. You'll be joining a broader team of Retools who are passionate about serving our customers, enjoy collaborating to build an incredibly innovative product, and enjoy swapping stories. If this sounds like you, we'd love to hear from you!

In this role, you'll:

• Build and maintain scalable ETL pipelines
• Design our Analytics and Business Intelligence architecture, assessing and implementing new technologies where fitting
• Work with our engineering teams to ensure robust instrumentation across areas of the product
• Become a subject matter expert on Retool's data sources — understand their context and limitations, and maintain data lineage documentation to promote transparency for end users
• Support data governance efforts, ensuring alignment with all data privacy standards and regulations
• Participate in code reviews, advising on and adhering to coding standards and best practices
• Partner with business teams to deploy robust reports and analyses, surfacing key insights that shape Retool's future direction
• Develop dashboards and define metrics that drive key business decisions

The skillset you'll bring:

• Background in Analytics Engineering, Business Intelligence, Data Engineering, or Data Analytics
• Ideally 4+ years of experience managing and building large, complex data sets across a range of sources
• Strong SQL and data modeling skills; ability to apply a range of data modeling techniques and philosophies to solve real-world problems
• Experience implementing data quality frameworks with automated testing and monitoring that catch critical issues without excessive noise
• Commitment to creating data documentation systems that enable self-service analytics and reduce repetitive stakeholder questions
• Ability to optimize cloud database performance through query tuning, table design, and strategic storage configurations
• Excellent business acumen with the ability to translate stakeholder requirements into data models
• Hands-on experience with data orchestration and transformation tools like dbt, Dagster, or Airflow
• Experience developing in a cloud data warehouse system like Databricks or Snowflake
• Comfortable with common git workflows and at least one scripting or statistical programming language (ideally Python and/or R)
• Skilled at data visualization, with strong opinions on the right way to distill information to various audiences
• A solution-oriented growth mindset. You'll need to be a self-starter and thrive in a dynamic environment
• A bias towards communication and collaboration with business and technical stakeholders
• Quantitative rigor and systems thinking
• Prior startup experience preferred but not required

Standout candidates will bring:

• Deep dbt knowledge, including the ability to write complex but maintainable jinja to customize our dbt deployment
• Experience influencing and developing relationships to advance a data-driven culture
• Deep experience with Spark/Databricks SQL and Delta Lake
• Deep experience with the Databricks platform, including Unity Catalog management, Workflows, DLT, and MLflow
• Experience using UX techniques to design highly usable, effective data products
• Experience designing data models for complex, highly technical products — particularly developer tools

San Francisco

$164,600 - $221,700 USD