Senior Data Engineer (Snowflake)

Location: Remote - US; applicants must already be legally authorized to work in the United States.

Base salary: $125,241–$187,862 per year

Company

Lyric provides healthcare decision intelligence powered by responsible AI, clinical, payment, regulatory, and policy expertise.

What you will do

• Design, build, and own production data pipelines using Snowflake, Airflow, dbt, and Python.
• Implement Lyric’s canonical healthcare data model within the production architecture.
• Build automated validation, data quality checks, freshness monitoring, lineage, and failure alerting into the data path.
• Develop governed self-service data capabilities for invoicing, analytics, and reporting consumers.
• Migrate and consolidate existing workloads without disrupting dependent consumers.
• Participate in on-call rotations, incident reviews, mentoring, and engineering-quality practices.

Requirements

• 5+ years of experience building and owning production data pipelines.
• Bachelor’s degree in Software Engineering, Computer Science, or a related field.
• Strong Snowflake experience, including streams and tasks, warehouse sizing, performance tuning, SQL optimization, RBAC, clustering, and micro-partitions.
• Production experience with dbt and Airflow, plus strong Python, SQL, and data modeling skills.
• Experience embedding testing and data quality validation into pipelines, with disciplined version control, code review, automated testing, and CI/CD practices.
• Existing U.S. work authorization is required; visa sponsorship and immigration support are not available.

Nice to have

• Experience with multi-tenant data platforms, temporal data modeling, or regulated healthcare and payment data involving PHI or PII.
• Familiarity with Datadog or comparable data-pipeline observability tools.
• Experience building internal platforms and tooling used directly by other teams.

Culture & Benefits

• Full-time role on the Data Platform team.
• Collaborative work with engineering leaders and non-engineering data consumers.
• Inclusive environment focused on technical excellence and knowledge sharing.
• Base salary is supplemented by total rewards compensation.