[Hiring] Staff Software Engineer, Data Products @Dune

Role Description

Data Products builds and owns datasets end to end: from raw chain data through decoding to the 3000+ models and 4 petabytes we curate, share directly with customers, and replicate into their warehouses.

The role will focus on the lifecycle of building high quality data:

• Orchestrating thousands of interdependent models
• Propagating schema changes without breaking downstream consumers
• Propagating corrections

This role is a hybrid: a backend engineer who thinks in systems and contracts, working on data.

You will be the engineer we hand ambiguous product requirements to, and will come back with a design, a sequence, and work the team can pick up, while building the hardest parts yourself.

In this role you will:

• Design and build the control plane for our curated data lifecycle: dependency-aware orchestration, backfills, restatements, retries, partial failure, and recovery
• Decide, dataset by dataset, whether the answer is a model, a service or a job, and own that architecture through production
• Design the contracts between ingestion and curation so a dataset can be reasoned about end to end
• Build alerting and data quality signals that catch real problems and stay quiet otherwise, so on-call is about incidents rather than noise
• Work across Go, Kotlin, Rust, Python and SQL, choosing the right tool rather than the familiar one
• Break large problems into work other engineers can own, and sequence it so we ship something useful early

Qualifications

• You are a backend engineer who has gone deep on data systems, or a data engineer who became a strong software engineer. You ship production services, not only pipelines
• You have built or materially extended orchestration and scheduling systems, and can explain precisely what breaks at scale and why
• You have handled schema evolution and data correctness in a system with real consumers downstream, where a breaking change has a cost
• You have built or operated stateful stream processing in production (Flink, Kafka Streams, Spark Structured Streaming, RisingWave, Materialize, Feldera)
• You have strong SQL and modeling skills on large datasets, and an interest in how the query engine underneath actually executes your work
• You have solid computer science fundamentals and distributed systems understanding
• You debug independently and drive root cause analysis to a fix that holds
• You use AI tools well enough that they have changed how you work, you understand their failure modes and dislike ai-slop
• You communicate clearly in writing and get the best out of a distributed team

Requirements

• Not required, but a plus:
• Deep experience with a transformation framework such as dbt or SQLMesh: specifically, having hit its limits and built beyond them
• Data lake formats such as Parquet, Iceberg or Deltalog
• Stateful stream processing in production (Flink, Kafka Streams, Spark Structured Streaming)
• Experience at a company where the data is the product

Benefits

• A competitive salary and equity package 🚀. Both salary and equity is top 25% of companies in the space
• Our employee equity scheme has world-class employee-friendly terms with a heavily discounted strike price (~90%) and a 10-year exercise window
• 5 weeks PTO + local public holidays (that can be swapped to suit you) 🏖
• A fully remote-first approach 🧑‍💻 within a distributed team with flexible working hours; you structure your own day
• Say goodbye to meeting overload! We believe in a healthy mix of async and sync work, so you can focus on what truly matters—no more wasted time on endless meetings!
• Good health is important, so we offer private medical insurance, dental & vision as standard 🩺
• We believe in paid parental leave 👶 to help you celebrate this important milestone, transition to your new life, and bond with your new baby. We offer 16 weeks to primary and 6 weeks to secondary caregivers, fully paid. Plus a 2-week part-time phased return at full pay to help you get used to your new (and slightly more complex!) schedule
• Quarterly offsites in various exciting locations as a company or team to connect, work together and have fun (so far in Tuscany 🇮🇹 Berlin 🇩🇪 Austria 🇦🇹 and Athens 🇬🇷)
• On top of this 👆each person gets a yearly travel allowance to connect and co-work with someone or a team of people for a few days
• An allowance for your at-home setup, to ensure you are happy, comfortable and productive. If you prefer a local co-working space, we’ll pay for your desk
• Work with some of the best people you’ll ever get to meet!
• And of course, you get some awesome Dune swag! ✌️😎