Software Engineer, Data

About the Role

We’re looking for a Data Platform Engineer to own and evolve the data layer that powers core product features. Today, much of that stack is built with AWS-native tooling such as S3, Parquet, Athena, and Glue, but this role is not limited to maintaining the current approach. We want someone who can work effectively within our existing architecture while also helping us identify, architect, and implement better processing and query patterns as our needs grow.

This is a hands-on engineering role at the intersection of backend systems and data infrastructure. You’ll build Python-based data services, shape how we model and process high-volume cloud data, and help decide when to use managed AWS services versus introducing technologies like DuckDB, ClickHouse, or other fit-for-purpose tools.

As our engineering team expands, we want someone to assume ownership of our existing data infrastructure and spearhead its evolution as we scale to integrate data from numerous new providers. This role is crucial for establishing an enterprise-grade data pipeline.

What You’ll Do

• Build features that help manage half a billion of dollars of annual spend and save customers millions of dollars per month 
• Work on unsolved, esoteric data problems that span multiple cloud providers 
• Build and maintain data pipelines using our current AWS-native stack, including S3, Parquet, Athena, and Glue
• Improve the architecture and performance of our data processing systems as volume and product needs grow
• Evaluate alternatives to existing pipeline tooling, including whether and where non-Glue processing approaches make sense
• Help shape our query and datastore strategy, including exploration of tools such as DuckDB, ClickHouse, and other analytical storage/query options
• Design Python services, interfaces, and abstractions that make complex underlying data usable by application features
• Work across multiple cloud and SaaS data sources to normalize and model data in a consistent way
• Make pragmatic decisions about performance, cost, operational complexity, and maintainability

What We’re Looking For

• 7+ years of software engineering experience across cloud infrastructure, data engineering, or backend systems
• Deep experience with developing production ready architectures on AWS (alternatively GCP or Azure)
• Strong experience building production data systems in Python, SQL, PySpark
• Experience with cloud-native data tooling, ideally on AWS, including object storage, columnar formats, query engines, as well as event-driven and batch processing systems
• Ability to evaluate tradeoffs between managed services and more specialized tools
• Experience designing data layers that support product and application use cases, not just reporting workflows
• Strong architectural judgment around processing engines, query patterns, storage formats, and data access layers
• Comfort operating in an environment where the current stack exists, but parts of it may be rethought over time
• Experience developing abstraction layers for data systems that allow for scaling 
• Ability to lead long-term projects, plan clear deliverables that can be shared with VP of Engineering and CTO 

Nice to Have

• Previous technical founder 
• Achieved outstanding recognition in competitions, awards, or business ventures
• Experience in a startup or fast-moving environment
• Familiarity with FinOps concepts or financial data pipelines
• AWS or GCP technical certifications
• Built platforms that scaled rapidly with user growth

Benefits

• Unlimited PTO
• 16-week fully paid parental leave (20 weeks at 50% for mothers)
• Company-wide breaks: last week of August & Dec 23–Jan 3
• The opportunity to participate in company benefits, including a Medical PPO Plan with majority of the premium covered by North.
• 30-day sabbatical every 4 years

Compensation

$220,000 – $260,000 base salary, depending on experience Equity included