Data Engineer

Pattern is seeking a scrappy and motivated Data Engineer to join our growing team. You will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines, manage and optimize data flows, and support data-driven decision-making processes. This is a full-time, hybrid role located in Lehi, Utah.

Essential Duties and Responsibilities:

• Develop, deploy, and support real-time, automated, scalable data streams into the data lake or warehouse.
• Implement data auditing strategies and resolve issues in large-scale data workflows.
• Collaborate on data requirements and access strategies.
• Optimize performance using profiling tools and query languages.
• Own data quality for assigned areas and triage data issues.

Required Qualifications:

• Bachelor’s degree in a relevant field or equivalent experience.
• 2+ years experience with SQL.
• Familiarity with data architecture and data warehouses like Redshift, BigQuery, or Snowflake.
• Experience with data visualization tools like Tableau or ThoughtSpot.

Preferred Qualifications:

• Experience with time series databases, SQL tuning, Snowflake, Big Data, and cloud tools.
• Understanding of Data Quality and Governance.

Pattern values innovation, partner success, action, and a data-first approach. Join a team that is helping scale global ecommerce through smart data engineering.