Role Description This is a hands-on engineering role — you'll be writing production Python and SQL, building Airflow DAGs, and contributing to our Data Vault 2.0 warehouse alongside a team of staff engineers. - Develop complex and efficient data pipelines to transform raw data sources into reliable, well-tested components of our data models. - Design, build, and maintain data pipelines that deliver accurate, trusted data with the freshness our stakeholders depend on. - Make 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 analytics. - Administer and optimize Snowflake across warehouse sizing, query performance, access controls, RBAC and user/role management, and ongoing cost tuning. - Build and maintain resilient Airflow DAGs and CI/CD pipelines that make deployments predictable, repeatable, and safe to roll back. - Implement automated testing (unit, integration, and data quality) so issues are caught in CI before they reach production. - Own production observability through our internal tooling, tuning alerts, responding to incidents, and closing the loop from production issues back into pre-load validation and CI checks. - Leverage AI-powered tools (e.g., Claude Code, Cursor, Snowflake Cortex) as a core part of your development workflow to accelerate code generation, automate documentation, and improve code quality. - Work with stakeholders across Executive, Product, Engineering, and business teams to translate the "why" behind a request into a technical solution that meets the business need. - Lead technical projects end-to-end, scoping with stakeholders, documenting requirements, and explaining technical trade-offs without relying on a Product Manager. - Drive cross-team initiatives that require influence and alignment to achieve a common goal. - Drive best practices for data governance, privacy, and security, including the change management and validation discipline required for SOX-relevant reporting. - Take an active part in the operational responsibilities of running our data infrastructure, with a focus on reliability, cost efficiency, and observability. Qualifications - Minimum 5 years experience as a software engineer or data engineer with a focus on data systems. - Advanced proficiency writing complex SQL and manipulating large structured and semi-structured datasets. - Proficiency in Python for building production-grade data pipelines. - Hands-on Snowflake administration experience, including warehouse management, RBAC and role design, access controls, and cost governance. - Demonstrable experience designing and implementing modern data warehouses, with an understanding of best practices. - Experience modeling data in cloud data warehouses such as Snowflake, Redshift, or BigQuery. Data Vault 2.0 experience strongly preferred, deep dimensional modeling experience acceptable with willingness to learn Data Vault. - Demonstrated experience using testing frameworks to validate data and code in a production environment. - Hands-on experience with data observability tooling. - Proficiency using AI coding assistants (e.g., Claude Code, Cursor, Snowflake Cortex) as a core part of your development workflow. - Track record of leading technical projects end-to-end without a Product Manager — from scoping through documentation through stakeholder communication. - Comfort 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. Requirements - The best data engineers here understand premium, loss, and policy lifecycle as well as they understand Snowflake. Company Description Pie Insurance is a technology-driven small business insurance company focused on making commercial insurance simpler, smarter, and more affordable. Our Data Engineering team sits at the intersection of technology and business operations, and this role is a critical part of how we scale. This is a contract role. The position is fully remote and based in Brazil. Candidates must be authorized to work as contractors in Brazil.

• Design, build, and maintain robust ETL/ELT pipelines that move data from diverse source systems into analytics, AI, and machine learning platforms. • Develop and optimize data architectures that support real-time and batch analytics, ML workflows, and personalization. • Partner with data architects, analysts, and client stakeholders to translate business requirements into technical designs. • Ensure data quality, lineage, observability, and security through validation, monitoring, and governance best practices. • Optimize performance and cost-efficiency of pipelines and storage. • Support cloud-first architectures across AWS, Azure, and GCP.

• The Enterprise Data Platform stream delivers outcomes to help different parts of the bank gain meaningful insights from their Data Assets. • Our core function spans multiple Data Warehouses, Hadoop, Business Intelligence and Analytics Cluster within Information Management. • The work involves providing delivery and support of platforms spanning over Hadoop, DWH, ETL, Reporting & Analytics application landscape. • You will be handling critical applications that influence bank’s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.

Role Description We are looking for a Senior Data Integration Engineer to design, build, and operate API-driven data services that connect operational systems, synchronize data reliably across boundaries, and land curated datasets in Snowflake while working closely with Hasura as the operational database and API layer. You will collaborate closely with Data Engineers and Implementation teams to ensure a seamless end-to-end data flow. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in data operations, with a strong background in building and optimizing data delivery pipelines and data management UI. - Knowledge of Python, Typescript, Bash, GraphQL, SQL. - Expertise working with AWS-based solutions. - Expertise working with modern data platforms (e.g., Redshift, Snowflake, etc.) and tools (e.g., AWS S3, lambdas, etc.). - Experience with SCM and CI/CD tools such as GitHub/Github Actions. - Experience with React applications. - Exceptional problem-solving skills and the ability to work collaboratively in a fast-paced, dynamic startup environment. - Excellent communication and project management skills, with a proven track record of delivering projects that provide significant business value. - Solid understanding of networking, authentication, and encryption concepts (SSH, SSL/TLS, key management). - Understanding of data pipelines and orchestration (Airflow, dbt Cloud jobs, or similar). - Familiarity with observability tools (Datadog or equivalent). Requirements - Prior experience with clinical or healthcare data, with a strong understanding of relevant data structures, such as Encounters, Claims, Financial Data, etc. - Stay updated with emerging data technologies and assess their applicability to the organization. - Drive initiatives for continuous improvement in data management processes and tools. - Leverage AI first mentality for optimizing and innovating on data architecture. - Authorized or able to provide required documents to work in United States or Canada. Benefits - Competitive Salary & Equity: We offer competitive pay based on experience and the value you bring to the team. - Equity Options: As part of our commitment to long-term success, we offer equity options, giving you the opportunity to share in the growth of the company. - Health & Wellness: Our health benefits include medical, dental, and vision coverage to keep you and your family healthy. We also offer wellness programs and mental health resources to help you thrive both personally and professionally. - Retirement Plans: We provide a 401(k) plan and Roth options to help you plan for the future and enjoy peace of mind. - Paid Time Off (PTO): Enjoy generous paid time off, including vacation days, holidays, and sick leave, to recharge and maintain a healthy work-life balance. - Fully Remote Work: Work from your home or private office location! We offer a flexible, fully remote work environment that allows you to manage your workspace in a way that best suits your lifestyle. - Professional Development: We encourage continuous learning and growth with access to training, workshops, and Professional Development stipend for further education. - Parental Leave: We offer paid parental leave to support team members through important life moments, whether you're welcoming a child or expanding your family. - Employee Assistance Program (EAP): Access confidential counseling and support for personal or work-related challenges to maintain your well-being along with additional employee assistance programs. Company Description Vori Health is an award-winning, nationwide, virtual-first, musculoskeletal medical practice focused on evidence-based care that treats the whole person. We are on a mission to empower humanity to lead a healthier life.