Software Engineer, Data Platform

About Retool

Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling customer support workflows, building admin dashboards, and countless other processes you might not have even thought of. 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 building the first enterprise AppGen platform: software that transforms natural language into production-ready code, integrates directly with business data, and meets the highest standards of security and governance. AI is redefining what it means to build software—and who gets to build it. The definition of “developer” now includes analysts, operators, and domain experts creating solutions directly. As the pool of builders widens, so does the complexity of what they need to build. The opportunity is enormous, but so is the challenge of enabling this larger community to build production-grade software safely. That means AI that understands real business data, enforces enterprise policies automatically, and empowers teams to create once and reuse everywhere with shared, trusted components.

Over 100 million hours of work has been automated by developers and domain experts using our platform, freeing them to focus on creative problem-solving and strategic initiatives that drive real business value. The people closest to knowing what needs to be built can now safely create custom solutions within enterprise guardrails. And that's a mission worth striving for.

Let's build the future together!

Why We're Looking For You

Retool is a fast-growing company with quickly evolving business needs. We’re looking to hire engineers to help us build out our data ecosystem to serve the needs of our business today and for 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.

What You'll Do

You’ll design and build the infrastructure and tooling that strengthens Retool’s data culture at scale. You’ll take on projects that solidify Retool’s analytics capabilities and help the company remain data-driven. You'll develop and scale ingestion infrastructure, optimize our ETLs, and design our data infrastructure for scale, with a keen eye for data warehouse management and tooling. You'll also take on ownership of our data stack to ensure that your teammates are able to access the data they need to make decisions and technical teams are able to quickly implement events. We’ve already built out a solid stack on top of Kafka, Databricks, DBT, and of course, Retool, but we need your help to ensure it scales with the company as our user base grows.

Who You'll Work With

You’ll work with stakeholders across the business, including data scientists, analytics engineers, 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

• Architect and scale a modern data platform that will be used internally by all of Retool
• Build and maintain scalable ETL pipelines to efficiently process and transform large volumes of data from source systems into our data warehouse
• Work with our engineering teams to ensure robust instrumentation across areas of the product
• Partner with business stakeholders to synthesize and develop requirements for core tables
• Implement monitoring and observability to guarantee data quality and consistency
• Articulate and implement best practices around ingestion frameworks and data pipeline development

The Skillset You'll Bring

• 3+ YOE Data Engineering experience
• Experience with distributed processing frameworks (e.g. Spark, Hadoop)
• Experience building Infrastructure as Code (e.g. Terraform)
• Must know SQL and at least one programming language (e.g. Python, Java, Javascript)
• Background in Data Engineering, 3+ years of experience building and maintaining scalable data infrastructure, including distributed processing solutions (e.g. Spark), cloud-based data lakes and warehouses (e.g. Databricks, Snowflake, BigQuery), workflow management (e.g. Airflow, Luigi), and data transformation tools (e.g. DBT)
• Experience using Infrastructure as Code (IaC) to automate data infrastructure provisioning and management (i.e. Terraform)
• Experience implementing and defining best data practices at scale
• Experience proactively identifying opportunities to improve ETL & dashboard performance and cost
• Proficiency with common git workflows and at least one programming language (e.g. Python, Scala, Java)
• 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

Compensation and Benefits

For candidates based in the United States, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate’s experience and qualifications, and location.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

The base pay range for this role is $167,200 – $218,700 per year.

Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!

Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.

Key skills/competency

• Data Engineering
• ETL Pipelines
• Data Warehousing
• Spark
• Databricks
• DBT
• Terraform
• SQL
• Python
• Infrastructure as Code