Hiring: Sr. Data Engineer Company: Lyra Health Location: United States Job Posted Time: 2026-09-10 10:43:45 Target Skills & Keywords : Airbyte, Airflow, Data Pipeline, Data Warehouse, ELT, Fivetran, Iceberg, Python, Quality Assurance, RBAC, SQL, Snowflake, Terraform, dbt About the job Experience: •4+ years of experience as a Data Engineer. Required Skills: •To thrive in this role, you should be enthusiastic about taking ownership of your work, spearheading cross-functional projects, and providing guidance and mentorship to other members of the team •Lyra Is The Right Place For You If You •Thrive on working with brilliant teammates to solve complex, meaningful problems •Are passionate about making a social impact and supporting people at their most challenging moments •Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers •Join a team of innovative engineers building and scaling the core data infrastructure, pipelines, and services that power our products •Design and implement a robust data warehouse to support a wide range of analytics and operational use cases •Develop and maintain efficient data pipelines and curated data sets by working closely with stakeholders to gather requirements and translate them into technical solutions Qualifications: •Demonstrated success in writing high-quality, production-ready Python and delivering impactful, scalable data projects. •Expertise in SQL-based data modeling and transformation frameworks (e.g. dbt), with a focus on schema management, performance, and data governance. •Strong experience with modern ingestion tools: configuring, deploying on data integration platforms (e.g. Airbyte), commercial ELT pipelines (e.g. Fivetran), and database replication methods like Change Data Capture (CDC). •Strong orchestration background: hands-on experience building robust, fault-tolerant pipelines using Apache Airflow (including custom alerting, advanced logging, and automated retry mechanisms). •Strong knowledge of Snowflake Cloud Data Warehouse Architecture, including native ingestion patterns (e.g. Snowpipe for continuous streaming) and open table formats (e.g. Apache Iceberg). •Strong knowledge of Snowflake administration including familiarity with maintaining security compliance, role based access control (RBAC), external authentication methods, and managing downstream data consumption in external platforms. •A "QA-First" engineering mindset: Strong experience in end-to-end data quality assurance, regression testing, and data validation. Capable of troubleshooting data discrepancies, and performance-tuning complex pipelines. •Strong foundational knowledge of relational databases, core data warehousing principles, and dimensional modeling techniques. •Operational familiarity with DevOps principles and infrastructure automation using Terraform. •A thoughtful approach to balancing high-quality engineering standards with tight deadlines. Compensation: •$128,000 - $176,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!