Sr. Data Engineer

Lyra Health

19d • $128,000 - $176,000

About The Position

Lyra Health is seeking an exceptional Sr. Data Engineer to join their team and contribute to shaping the future of mental health care. Data is central to Lyra's operations, powering analytics and research platforms that drive product development and measure clinical outcomes. The role involves building and scaling the data enterprise to enable better decision-making and improve patient lives. The ideal candidate will be enthusiastic about taking ownership, leading cross-functional projects, and mentoring team members. Lyra is a place for individuals who thrive on solving complex problems with brilliant colleagues, are passionate about social impact, and enjoy collaborating with diverse teams including physicians, therapists, data scientists, data analysts, and product managers.

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.

Nice To Haves

• Strong foundational knowledge of relational databases, core data warehousing principles, and dimensional modeling techniques.
• Experience working with sensitive data (such as PII/PHI) within healthcare or similarly regulated environments, implementing robust data masking or redaction processes.
• Familiarity with DevOps principles and infrastructure automation using Terraform.
• A thoughtful approach to balancing high-quality engineering standards with tight deadlines.
• Excellent communication skills with a talent for building consensus and distilling complex technical problems into clear, actionable business priorities.

Responsibilities

• 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
• Write code every day!

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
• Well-being perks and activities
• Surprise swag
• Regular community celebration

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed