Senior Data Engineer

There's nothing more exciting than transforming an industry that's been stagnant for decades. Federato [https://www.federato.ai/] is an AI-native platform that’s bringing agentic AI to the full policy lifecycle. We’re aggressively transforming how insurance work gets done, and the world is paying attention: we've raised $180 million, including a $100 million Series D from Goldman Sachs. We have powerful product-market fit, and we're growing fast globally. You'll get to work on complex problems with one of the most advanced AI teams you'll find anywhere. If you're the person we need, you know that AI bolted onto legacy systems is too weak to matter. That's why we built our platform to be AI-native from day one. That's why you can do here what you can never do at a legacy software company. move fast and prove it, not theorize it. We think from first principles. You’ll work on problems that matter, building software that fundamentally changes how insurance operates. Role Overview You’ll be joining a small, high-impact data engineering team within Federato’s AI/ML organization. Our focus is on building the infrastructure and internal frameworks that empower machine learning engineers to develop, deploy, and iterate on AI-powered features ranging from prompt-based LLM workflows to more traditional model-driven systems. We collaborate closely with ML, analytics, and product teams to ensure data and tooling are reliable, scalable, and aligned with the needs of our AI-native platform. What You'll Be Doing: * Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features * Contribute to architecture decisions, observability tooling, and data quality initiatives that keep our platform robust and maintainable. * Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows. * Enforce and elevate engineering best practices across the AI/ML org, including code quality, testing, and documentation. Who We Hope You Are: * 5+ years of experience in data engineering, backend engineering, or related roles with a focus on data infrastructure. * Proven experience designing and maintaining scalable data pipelines (e.g., using Airflow, Dagster, or Prefect). * Experience with software development practices like version control, CI/CD, or dbt testing strategies. * Strong proficiency in SQL and Python, with bonus points for Typescript (or similar) experience * Comfort working with version control, CI/CD systems, and cloud infrastructure (e.g., AWS, GCP, Terraform). * Comfortable navigating ambiguity and working closely with business stakeholders to understand their data needs. * Proven track record of designing high-impact data products and pipelines in fast-paced environments. Bonus Points for: * Prior experience working in or adjacent to insurance, fintech, or risk modeling domains. * Prior exposure to ML ops or experience supporting AI/ML-driven products * Enthusiasm for building internal tools or frameworks to improve team velocity. * Contributions to open-source data tools or involvement in the data community. $160,000 - $210,000 a year Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks. Here at Federato, your capabilities are important, but culture fit is essential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you! We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at [email protected] [[email protected]]

Build and maintain robust ETL pipelines and internal frameworks to support AI/ML features and prompt-based LLM workflows. Collaborate with cross-functional teams to ensure data reliability, scalability, and the implementation of engineering best practices.

Requires 5+ years of experience in data or backend engineering with proficiency in SQL, Python, and scalable pipeline tools like Airflow. Candidates should be comfortable with cloud infrastructure, version control, and navigating ambiguity in fast-paced environments.

• Stock Options • Benefits • Additional Perks

• SQLPreferred
• CI/CDPreferred
• TypeScriptPreferred
• Amazon Web ServicesPreferred
• Google CloudPreferred
• TerraformPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Data Engineering
• ETL Pipelines
• SQL
• Python
• Airflow
• Dagster
• Prefect
• CI/CD
• dbt
• AWS
• GCP
• Terraform
• Typescript
• ML Ops
• Prompt Engineering
• Data Infrastructure
• Veeva
• Risk Modeling
• Pipelines
• Financial Technology (FinTech)
• MLOps (Machine Learning Operations)
• Observability
• Workflow Management
• Apache Airflow
• Zoom (Video Conferencing Tool)
• Artificial Intelligence
• Amazon Web Services
• Software Development
• Underwriting
• Cloud Infrastructure
• Version Control
• Extract Transform Load (ETL)
• Data Quality
• Scalability
• Python (Programming Language)
• Machine Learning
• Product Support
• Salesforce
• Software Engineering
• Software Quality (SQA/SQC)
• SQL (Programming Language)
• Tooling
• TypeScript
• Data Science
• Enthusiasm
• Data Pipelines

• Data & Analytics
• Technology
• Software
• Engineering
• Finance & Accounting
• Data Engineer
• Software Developers
• Database Administrators

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week