About the Company
We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. We've restructured our own company around AI - tools, policies, roles, delivery models.
The Opportunity
Our client is a US insurance leader for youth and college sports. Their data estate is at an inflection point: a legacy enterprise ETL platform is being decommissioned, pipelines are moving to a modern orchestration stack, and the whole platform is consolidating onto Azure. You'll join a small senior pod as the full-time engineering backbone of the account. This is not a ticket-taking role; we're expected to propose, decide, and deliver.
What you'll be doing
The core of the work is rebuilding and running the client's data platform: replacing legacy ETL with new pipelines, operating a medallion (bronze/silver/gold) architecture across Azure and Snowflake, productionizing ML scoring pipelines, and owning the infrastructure underneath it all. Expect a long tail of adjacent work: reporting pipelines for insurance carriers, third-party sports data feeds, and occasional backend or frontend tasks.
Your Responsibilities:
- Design, build, and operate data pipelines in Airflow (or similar) across Azure and Snowflake.
- Productionize ML and scoring workflows from Jupyter notebooks into reliable, scheduled pipelines.
- Ingest and manage third-party data feeds and internal application databases.
- Build and maintain reporting outputs for insurance carriers and partners.
- Own DevOps for the data platform: Azure infrastructure, IaC, CI/CD, monitoring, secrets, and access management.
- Support the AWS-to-Azure migration and infrastructure cost optimization.
- Collaborate directly with client stakeholders and external vendor teams.
What we offer
- Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc.
- Total Autonomy (Remote-First): No filler meetings, no Jira bloat, no micromanagement. You own the workflow.
- Direct Impact: You'll work face-to-face with our CEO, CTO & VPs and directly with client leadership.
- Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real business decisions.
Required Skills & Experience:
- Senior-level data engineering: strong Python and SQL, solid data modeling, and production experience with a modern orchestrator (Prefect, Airflow, or Dagster).
- Solid hands-on Azure experience - data services, storage, compute, networking, and identity.
- Experience with Snowflake (or another cloud data warehouse) in production.
- DevOps skills applied to data platforms: Docker, CI/CD, infrastructure-as-code (Terraform or similar), monitoring and alerting.
- AI-native way of working: you use tools like Claude and Cursor as a core part of how you deliver.
- Flexibility and ownership: willing to pick up work beyond pure data engineering.
- Self-directed: able to scope ambiguous requests, propose solutions, and deliver without heavy oversight.
- Fluent English and clear, proactive communication with non-technical stakeholders.
Nice to Have:
- Cloud migration experience.
- Experience in insurance, financial services, or other regulated environments.
- MLOps exposure.
- Reading-level comfort with Java and JavaScript/React codebases.
- Experience taking over and stabilizing systems built by someone else.
