Data Engineer

📋 Description

• Design and maintain scalable ETL/ELT pipelines (Python, SQL, Spark, dbt) for BI.
• Develop data infrastructure on SQL Server and AWS; migrate on-prem to AWS.
• Maintain SSIS packages and optimize data workflows.
• Design data models (star schemas) for reporting and analytics.
• Partner with BI Analysts using Power BI/Tableau for client reporting.
• Automate data processes with Python and SQL to improve efficiency.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or related field.
• 3-5 years of experience in data engineering, preferably supporting BI or analytics teams.
• Hands-on experience with AWS or other cloud platforms.
• Strong experience building data pipelines (cloud or on-prem) using Python, SQL, Spark.
• Solid understanding of data modeling for analytics (star schemas, data warehousing concepts).
• Strong SQL and Python; experience with Spark, Kafka, Databricks, Snowflake/Redshift, and dbt.

🎁 Benefits

• Competitive pay with annual performance-based bonuses.
• 401(k) plan with company matching.
• Medical, dental, and vision coverage with HSA/FSA options.
• Paid vacation and sick days plus a birthday day off.
• Two paid volunteer days; LinkedIn Learning access and education reimbursement.
• On-site fitness center at Tempe office; Headspace membership.