About the RoleWe're looking for a Data Engineer to join our
Product Development - Business Intelligence team. In this role, you'll build and maintain data pipelines and infrastructure that power BI products and client-facing reporting solutions.
You'll work closely with BI Analysts and product teams to ensure data is reliable, accessible, and structured to deliver meaningful insights to our clients.
How You'll Contribute- Design, build, and maintain scalable ETL/ELT pipelines using Python, SQL, Spark, and dbt to support BI solutions
- Develop and manage data infrastructure across SQL Server and AWS environments
- Support migration of on-premise systems to AWS cloud platforms
- Maintain and optimize SSIS packages and existing data workflows
- Design and implement data models (e.g., star schemas) optimized for reporting and analytics
- Partner with BI Analysts using tools such as Power BI/Tableau to deliver client reporting and data-driven insights
- Automate manual data processes using Python and SQL to improve efficiency and data quality
- Document data pipelines, models, and infrastructure across AWS, SQL Server, and Databricks environments
- Collaborate with Product, BI, and Engineering teams to support BI product development leveraging Snowflake, Redshift, or Databricks
- Stay current with emerging data and BI technologies including Kafka, Spark, dbt, and cloud-native tools
- Participate in client-facing sessions when needed (design discussions, presentations, training), showcasing solutions built on AWS and modern data platforms
Strengths That Shine in This Role- Strong problem-solving mindset with a focus on data quality and reliability
- Ability to translate business and BI requirements into scalable technical solutions
- Collaborative approach with the ability to work across technical and non-technical teams
- Proactive and self-driven, with a strong sense of ownership
- Comfortable working in a fast-paced, product-focused environment
- Strong attention to detail and commitment to continuous improvement
Skills That Matter in This Role- Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or a 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-premise) using Python, SQL, Spark
- Solid understanding of data modeling for analytics and reporting (e.g., star schemas, data warehousing concepts)
- Strong proficiency in SQL and Python
- Experience with tools/technologies such as Spark, Kafka, Databricks, Snowflake, Amazon Redshift, and dbt
- Familiarity with BI tools and reporting environments such as Power BI or Tableau
- Experience with streaming data using Kafka or similar technologies is an asset
Why You'll Love Working Here- Thrive in an award-winning, innovation-driven culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards -
- Earn competitive pay with annual performance-based bonuses that recognize your impact
- Invest in your future with our 401(k) plan featuring company matching
- Stay healthy with comprehensive medical, dental, and vision coverage, plus HSA and FSA options
- Recharge with paid vacation and sick days - and a paid day off for your birthday
- Make an impact with two paid volunteer days to give back to your community
- Advance your skills with free access to LinkedIn Learning and our education reimbursement program
- Prioritize your mental health with a free premium Headspace membership
- Stay active with our on-site fitness center (Tempe office only)
- Refuel at fully stocked refreshment stations with complimentary drinks and snacks
- Enjoy exclusive perks with access to "Tickets at Work" discounts and memberships
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While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements. If you possess a strong desire to learn and grow in a dynamic work environment, apply now!
