Remote Senior Data Platform Engineer

Lyric; Salt Lake City (UT); Remote; USD 125,000 - 188,000; Full time

Job summary

Lyric is seeking a Senior Data Engineer to build and own the data platform that underpins its healthcare decision intelligence products. You will design pipelines, implement a canonical data model, and ensure data quality and observability within a multi-tenant Snowflake-based framework.

You will work closely with the Principal Data Engineer, contribute to architectural direction, and mentor engineers while maintaining strong on-call and CI/CD discipline.

Qualifications

• Bachelor's degree in Software Engineering, Computer Science, or a related field.
• 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, and working knowledge of RBAC, clustering, and micro-partitions.
• Production experience with dbt and Airflow, including how to structure models and DAGs so that someone else can maintain them.
• Strong programming expertise in Python and deep SQL proficiency.
• Solid data modeling skills, with experience designing schemas that serve more than one consumer and the judgment to know when a requirement belongs in the shared model versus a consumer-specific extension.
• Experience building testing and data quality validation into pipelines rather than checking data after the fact.
• Disciplined engineering practices: version control, code review, automated testing, and CI/CD applied as a matter of course.
• Ability to work directly with non-engineering consumers of data, understand what they actually need, and communicate constraints and tradeoffs clearly.

Responsibilities

• Design, build, and own data pipelines in our unified framework using Airflow, dbt, and Snowflake.
• Implement the canonical data model in production, working within the architecture set by the Principal Data Engineer and contributing to it based on what implementation reveals.
• Build automated validation and data quality checks into pipelines at defined stages, so that defects are caught before they reach consumers.
• Instrument pipelines for observability, including freshness, lineage, and failure alerting.
• Contribute to self-service capability that allows consuming teams to declare the data they need and receive it as governed output rather than a custom build.
• Partner directly with consuming teams across invoicing, analytics, and reporting to understand their requirements and translate them into data they can rely on.
• Migrate and consolidate existing data workloads onto the unified framework without disrupting the consumers depending on them.
• Participate in an on-call rotation for pipeline and data quality incidents, and in the incident reviews that make fixes permanent.
• Hold a high engineering bar: version control, testing, code review, CI/CD, and documentation that stays current.
• Mentor engineers, share knowledge deliberately, and raise the technical level of the people around you.

Education

Bachelor's degree in Software Engineering, Computer Science, or a related field

Tools

Snowflake

dbt

Airflow

Python

SQL

Job description

Lyric is seeking a Senior Data Engineer to build and own the data platform that underpins its healthcare decision intelligence products. You will design pipelines, implement a canonical data model, and ensure data quality and observability within a multi-tenant Snowflake-based framework.

You will work closely with the Principal Data Engineer, contribute to architectural direction, and mentor engineers while maintaining strong on-call and CI/CD discipline.