This role will help support existing data pipelines, improve maintenance processes, and assist in implementing existing platforms for onboarding companies.?

What you will do:

• Support a daily pipeline process, troubleshooting in a time-sensitive manner when necessary.
• Assist the data engineering team in improving the data processes you are supporting.
• Provide high levels of transparency and communication around the work you are doing as the process you will support is critical to multiple business segments.

Required Skills/Abilities:?

• Great with SQL (CTE’s, complex transformations)
• Proficient with Python
• Preferred Skills/Abilities:
• Experience with Snowflake (managing permissions, object access, data shares between accounts)
• Experience with DBT (project architecture, data testing (Elementary), both static and dynamic data models)
• Experience with AWS Airflow & S3
• Experience with Github actions

What you are like:?

• Technical and non-technical communicator: You will interact with both very technical and very non-technical stakeholders. It’s important you are comfortable communicating at both of those levels.
• Able to follow process and identify areas to improve: This role will have extreme ebbs and flows. In the downtimes you should be comfortable working to find ways to find value and improve the tools and process you are using.
• Comfortable with ambiguity: This role will have extreme ebbs and flows. In the downtimes you should be comfortable working to find ways to find value and improve the tools and process you are using.

Benefits:

• Health Insurance
• Dental Insurance
• Vision Insurance
• Life insurance
• Bonus Pay

Ability to commute/relocate:

• In the Lehi, Utah office, with some WFH flexibility