Senior Data Platform Engineer - Remote & Multimodal AI

Stability AI; United States; Remote; USD 176,000 - 230,000; Full time

Benefits offered by this job

Health coverage for you and family

HSA/FSA accounts

Company-paid life insurance

Disability coverage

401(k) with company match

Paid parental leave

Flexible paid time off

Equipment provided

Job summary

Stability AI is seeking an experienced data engineer to own the company data platform end to end. You will manage the AWS data lake, the dbt project, and ingestion from Stripe, Auth0, HubSpot, OpenTelemetry and product events, plus the Postgres serving layer for dashboards and AI agents.

You’ll build integrations between billing, CRM, ERP, identity and telemetry systems, design the warehouse with data contracts, enforce PII tiering, and process data at scale using Iceberg tables and SLURM-based

Qualifications

• 6+ years building and running production data platforms with ownership
• Experience integrating SaaS business systems into a data warehouse
• Experience with batch workloads on HPC or cloud schedulers (SLURM, Kubernetes)
• Comfort working independently in a small team with real ownership

Responsibilities

• Own the company data platform end to end: S3/Athena/Glue lake, the dbt project and its daily build, ingestion from Stripe, Auth0, HubSpot, OpenTelemetry and product events, and the Postgres serving layer for dashboards and AI agents
• Build and operate integrations between billing, CRM, ERP, identity and telemetry systems so revenue, usage, cost and customer identity reconcile automatically
• Design and maintain the warehouse layer: dimensional models, data contracts with product engineering for event schemas, quality tests, lineage and a catalog
• Enforce PII tiering through access grants, working with Security and Legal
• Process data at scale: billions of telemetry rows, terabyte log streams, Iceberg tables, partitioning and cost control
• Own orchestration and infrastructure: orchestration on EKS, Helm, Terraform, CI/CD, monitoring and alerting, and join the business-hours on-call rotation for the daily pipelines
• Deliver operational reporting for Finance and leadership: revenue by business line, credits and prepaid liability, and cloud cost by department
• Support the research teams across modalities: source, license-check, ingest and version large training datasets for audio, video, image and 3D
• Build the generation, filtering, deduplication and captioning pipelines that turn raw or synthetic media into training-ready shards, and run them at scale on our SLURM cluster and cloud object storage
• Keep lineage, quality metrics and dataset documentation current so any researcher can reproduce a training set
• Lead design reviews, mentor teammates and write the runbooks that remove single-person dependencies
• Partner with Finance, Marketing, SRE, Security, Product and Research on company-wide data initiatives

Skills

SQL

Python

CI/CD

Software engineering

Tools

dbt

Airflow

Argo

Spark

Kubernetes

Terraform

Job description

Stability AI is seeking an experienced data engineer to own the company data platform end to end. You will manage the AWS data lake, the dbt project, and ingestion from Stripe, Auth0, HubSpot, OpenTelemetry and product events, plus the Postgres serving layer for dashboards and AI agents.

You’ll build integrations between billing, CRM, ERP, identity and telemetry systems, design the warehouse with data contracts, enforce PII tiering, and process data at scale using Iceberg tables and SLURM-based