Senior Data Engineer

🕒 May 27

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Lyra Health

501 - 1000 employees

Founded 2015

⚕️ Healthcare Insurance

☁️ SaaS

👥 HR Tech

💰 $235M Series F on 2022-01

Healthcare Insurance • SaaS • HR Tech

Lyra Health is a mental health company that partners with organizations to deliver comprehensive and effective global workforce mental health benefits. By providing evidence-based mental health care, Lyra Health boosts employee well-being and drives business impact. Their platform offers high-quality mental health support through a global network of professionals, utilizing AI matching technology to connect members quickly with suitable providers. Lyra Health serves families, couples, adults, and children, offering support for diverse mental health needs. Their programs aim to improve employee health, productivity, and reduce healthcare costs while providing a seamless member experience.

📋 Description

• 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 • And of course—write code every day!

🎯 Requirements

• 4+ years of experience as a Data Engineer. • Proven track record of 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). • Experience with modern data visualization and analytics tools such as Sigma or Tableau. • 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.

🏖️ Benefits

• Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) • Lyra for Lyrians; coaching and therapy services • Equity in the company through discretionary restricted stock units • Competitive time off with pay policies including vacation, sick days, and company holidays • Paid parental leave • 401K with up to 3% matching • Monthly tech allowance • We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!

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