Senior Data Platform Engineer - Healthcare Analytics

lyric.ai; Northern (KY); Hybrid; USD 125,000 - 188,000; Full time

Job summary

Lyric is seeking a Senior Data Engineer to build the data foundation powering healthcare decision intelligence. You will own production pipelines across Snowflake, Airflow, and dbt, implement the canonical data model, and ensure data quality and observability for multi‑tenant healthcare data domains.

You will mentor engineers, collaborate with analytics and invoicing teams, and contribute to a scalable, governed data platform in a fast‑paced environment.

Qualifications

• Bachelor's degree in Software Engineering or Computer Science.
• 5+ years of experience in data engineering, building and owning production data pipelines.
• Strong Snowflake experience, including streams and tasks, warehouse sizing and performance tuning, SQL optimization, RBAC, clustering, and micro-partitions.
• Production experience with dbt and Airflow, including structuring models and DAGs for maintainability.
• Strong programming in Python and deep SQL proficiency.
• Solid data modeling skills for multi-consumer schemas and shared models.
• Experience building testing and data quality validation into pipelines, not after the fact.
• Disciplined engineering practices: version control, code review, automated testing, CI/CD.

Responsibilities

• Design, build, and own data pipelines in our unified framework using Airflow, dbt, and Snowflake.
• Implement the canonical data model in production, within the architecture set by the Principal Data Engineer.
• Build automated validation and data quality checks into pipelines at defined stages.
• Instrument pipelines for observability: freshness, lineage, and failure alerting.
• Contribute to self‑service capabilities for consuming teams to access governed data outputs.
• Partner with invoicing, analytics, and reporting teams to translate requirements into reliable data.
• Migrate and consolidate existing workloads onto the unified framework without disrupting consumers.
• Participate in on‑call rotation for pipeline and data quality incidents; contribute to incident reviews.
• Maintain high engineering standards: version control, testing, code review, CI/CD, documentation.
• Mentor engineers and raise the technical level of the team.

Skills

Data engineering

Snowflake

dbt

Airflow

Python

SQL

Data modeling

RBAC

CI/CD

Education

Bachelor's degree in Software Engineering/CS

Tools

Snowflake

dbt

Airflow

Job description

Lyric is seeking a Senior Data Engineer to build the data foundation powering healthcare decision intelligence. You will own production pipelines across Snowflake, Airflow, and dbt, implement the canonical data model, and ensure data quality and observability for multi‑tenant healthcare data domains.

You will mentor engineers, collaborate with analytics and invoicing teams, and contribute to a scalable, governed data platform in a fast‑paced environment.