Lead Data Engineer - Snowflake, AWS ETL & Data Pipelines

Myriad Genetics Inc.; Salt Lake City (UT); On-site; USD 90,000 - 130,000; Full time

Job summary

Myriad Genetics Inc. in Salt Lake City seeks a data engineer to lead the design, development, and maintenance of ETL processes across Snowflake and AWS.

You will extract data from Oracle sources into Snowflake, implement Fivetran/Matillion pipelines, and build Looker dashboards to support marketing and product teams. You will ensure data quality, manage code with GitHub, and contribute to automated scheduling, monitoring, and documentation of data models and framework functionalities.

Qualifications

• Master's degree in Computer Science required; 2 years of experience in ETL/data engineering.
• Proficiency with ETL tools and data pipelines; Snowflake and AWS Cloud Services.
• Experience with Fivetran or Matillion; Oracle data transformations; JSON/CSV; APIs; SFTP; SQL; Python; GitHub administration; Agile/Scrum SDLC.

Responsibilities

• Lead design, development, and maintenance of ETL processes using Snowflake and AWS.
• Extract structured and semi-structured datasets from Oracle sources into Snowflake; improve pipelines for efficiency and scalability.
• Create dashboards using Looker and build data models to support marketing/product teams.

Skills

ETL design

Data pipeline development

SQL

Python

Agile/Scrum SDLC

Communication with product managers

Education

Master's Degree in Computer Science

Tools

Snowflake

AWS Cloud Services

Fivetran

Matillion

Looker

BigQuery

APIs

CSV/JSON processing

SFTP

Oracle

Github

Job description

Myriad Genetics Inc. in Salt Lake City seeks a data engineer to lead the design, development, and maintenance of ETL processes across Snowflake and AWS.

You will extract data from Oracle sources into Snowflake, implement Fivetran/Matillion pipelines, and build Looker dashboards to support marketing and product teams. You will ensure data quality, manage code with GitHub, and contribute to automated scheduling, monitoring, and documentation of data models and framework functionalities.