Data Engineer III at Simplot utilizing advanced data engineering principles and cloud data tools. Collaborating in a team to support data solutions for food and agriculture industry.
About the role
- Data Engineer at Adelaide building clean, reliable data systems for analytics. Join a rapidly growing company revolutionizing attention measurement in advertising.
Responsibilities
- Help build and maintain the semantic layer of our data pipeline
- Develop and test data models, editing LookML
- Manage a data catalog
- Automate data analysis workflows
- Work closely with stakeholders to understand and support their data needs
- Build, test, and maintain SQL-based data models in the data warehouse (Redshift) to support reporting and analytics
- Create and manage a clean, reliable reporting and semantic layer in Looker using LookML
- Monitor data adoption and identify opportunities to improve data usability and self-service analytics
Requirements
- 0-2 years of experience in analytics, data engineering, or a related field
- Strong ability to write, optimize, and debug SQL queries
- Hands-on experience with BI/dashboarding platforms (e.g. Looker, Tableau)
- Experience building SQL-based data models in a data warehouse environment
- Familiarity with semantic modeling tools (e.g. LookML) and exposure to transformation frameworks such as dbt is a plus
- Understanding of ETL/ELT concepts is expected
- Strong attention to detail in building data validation checks
- Excellent interpersonal skills with experience working cross-functionally
- Bachelor’s degree in a quantitative, technical, or analytical field (e.g. Computer Science, Math, Physics, Engineering) or a rigorous coding bootcamp with a portfolio demonstrating the above skills.
Benefits
- Medical, dental, and vision insurance (for US)
- Paid time off
- Parental leave
- Employee development & wellness stipend
- Holiday break
- Volunteer time off
- Performance-based quarterly bonus
- Stock options
- 401(k) retirement plan (for US)
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