Software Engineer, Data

Location: Northern

# Software Engineer, Data Brooklyn Fin Ops
150k+12/06/2026

Full-time

Hybrid Favorite Access  Job##

Job Description Software Engineer, Data

Location:

Brooklyn, NY (Hybrid)

Experience:

7+ years in Software Engineering  About North  The public cloud is rapidly evolving, with businesses investing over $200B annually in cloud technology. As AI accelerates demand for scalable infrastructure, cloud costs are soaring, and most teams still rely on spreadsheets to manage them.  At North, we’re building the next-generation cloud spend management platform. We give companies real-time visibility, control, and automation over their cloud finances, so they can grow efficiently, without wasting time or money.  

Backed by top-tier investors and trusted by global customers like Brave, The New York Public Library, and Sum Up, we’re assembling a world-class team to redefine how businesses manage cloud infrastructure.  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, Click House, 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, Click House, 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…