[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. Pie Insurance is dedicated to empowering small businesses by making commercial insurance affordable and accessible. They are seeking a Data Engineer to build and maintain data pipelines, contribute to data modeling, and ensure data reliability for their insurance platform.ResponsibilitiesDesign, build, and maintain data pipelines that deliver accurate, trusted data with the freshness our stakeholders depend onContribute to data modeling decisions within our Data Vault 2.0 warehouse that balance raw fidelity in the vault with the consumption patterns of downstream marts and analyticsAdminister and optimize Snowflake across warehouse sizing, query performance, access controls, RBAC and user/role management, and ongoing cost tuningBuild and maintain resilient Airflow DAGs and CI/CD pipelines that make deployments predictable, repeatable, and safe to roll backImplement automated testing (unit, integration, and data quality) so issues are caught in CI before they reach productionProvide mission-critical production support and ensure data reliability through proactive observability tuning, comprehensive incident response, and continuous feedback loops that integrate production insights back into pre-load validation and CI/CD pipelinesLeverage AI-powered tools (e.g., Claude Code, Cursor, Snowflake Cortex) to accelerate code generation, automate documentation, and improve code qualityWork with stakeholders across Executive, Product, Engineering, and business teams to translate the 'why' behind a request into a technical solution that meets the business needRun technical projects end-to-end with guidance from senior engineers — scoping with stakeholders, documenting requirements, and explaining technical trade-offsFollow and contribute to best practices for data governance, privacy, and security, including the change management and validation discipline required for SOX-relevant reportingTake an active part in the operational responsibilities of running our data infrastructure, with a focus on reliability, cost efficiency, and observabilitySkillsMinimum 2+ years experience as a software engineer or data engineer with a focus on data systemsAdvanced proficiency writing complex SQL and manipulating large structured and semi-structured datasetsProficiency in Python for building production-grade data pipelinesWorking knowledge of Snowflake or comparable cloud warehouse — comfortable with warehouse management, access controls, and query performance. Exposure to RBAC and cost governance is a plusExperience working with data models in cloud data warehouses such as Snowflake, Redshift, or BigQuery. Familiarity with Data Vault 2.0 or dimensional modeling is a plus, willingness to learn Data Vault is requiredDemonstrated experience using testing frameworks to validate data and code in a production environmentHands-on experience with data observability toolingProficiency using AI coding assistants (e.g., Claude Code, Cursor, Snowflake Cortex) as a core part of your development workflowExperience running technical projects end-to-end with guidance from senior engineers — scoping, documenting, and communicating with stakeholdersComfort working in a regulated environment (e.g., SOX-relevant financial reporting)Willingness to develop deep domain expertise in insurance and the Pie business over time. The best data engineers here understand premium, loss, and policy lifecycle as well as they understand SnowflakeBenefitsCompetitive cash compensationA piece of the pie (in the form of equity)Comprehensive health plansGenerous PTOFuture focused 401k matchGenerous parental and caregiver leaveEach year Pie reviews company performance and may grant discretionary bonuses to eligible team members.Company OverviewPie Insurance is an insurance company specializing in small business. It was founded in 2017, and is headquartered in Washington, District of Columbia, USA, with a workforce of 201-500 employees. Its website is https://pieinsurance.com.