Staff Software Engineer, Data

We are looking for an experienced data engineer to own and evolve a comprehensive data platform supporting business operations and advanced AI research. In this hands-on role, you will design and operate scalable data infrastructure, connect business systems, and transform complex data into reliable, actionable insights. You will also build large-scale pipelines that convert raw and synthetic media into high-quality training datasets across audio, video, image, and 3D modalities. Working closely with Finance, Product, Security, Infrastructure, Marketing, and Research teams, you will help establish reliable data flows and robust governance practices. You will have significant technical ownership in a small, collaborative environment that values engineering judgment, autonomy, and measurable outcomes. This opportunity is ideal for a senior engineer who combines strong software development practices with deep data modeling expertise and an interest in enabling cutting-edge generative AI research.

The ideal candidate combines strong software engineering discipline, advanced data modeling skills, production infrastructure expertise, and the ability to work independently while taking ownership of complex technical systems.

• At least 6 years of experience building and operating production data platforms, including responsibility for architectural decisions.

• Demonstrated experience integrating SaaS business systems, such as Stripe, HubSpot, ERP platforms, and identity providers, into a centralized data warehouse.

• Production experience preparing large-scale multimodal training datasets and running batch workloads using high-performance computing (HPC) or cloud schedulers such as SLURM, Kubernetes, or equivalent technologies.

• Expert-level SQL and Python skills, supported by strong engineering practices including automated testing, code reviews, and continuous integration.

• Hands-on experience with data warehouses and data lakes, including data modeling and technologies such as Apache Iceberg or Delta Lake on S3, Athena or Trino, Snowflake or BigQuery, and dbt.

• Experience operating production orchestration systems such as dbt, Airflow, or Argo, and working with distributed processing technologies such as Spark or equivalent frameworks.

• Strong knowledge of AWS, Kubernetes and EKS, Helm, and Terraform, with the ability to troubleshoot issues across data processing jobs and infrastructure deployments.

• Ability to work autonomously in a small team, make sound technical decisions, and take end-to-end responsibility for production systems.

• Strong analytical judgment and the ability to interpret data accurately, communicate its limitations, and ensure stakeholders understand what metrics do and do not represent.

Additional strengths that would be valuable include:

• Experience owning and building a data platform from the ground up in a startup environment.

• Experience collaborating with research teams working on generative AI models or handling audio, video, image, and 3D datasets.

• Familiarity with FinOps practices and cloud cost allocation and reporting.

• Knowledge of SOC 2 or similar compliance frameworks governing data access and security.