Lyra Health - Sr. Data Engineer
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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. • 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. • $128,000 - $176,000 a year • As a full-time Sr. Data Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $128,000 to $176,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. • Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include: • 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! • We can’t wait to meet you.
Responsibilities
• 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!
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