Data Engineer

Responsibilities

• Design, build, and operate scalable cloud pipelines and ETL workflows to enable BI and reporting capabilities
• Develop and maintain data infrastructure across SQL Server, AWS, and cloud platforms
• Construct, troubleshoot, and optimize data pipelines using PySpark, Databricks, SQL, and cloud services
• Create analytics-optimized data models for analytics, warehousing, and reporting use cases
• Collaborate with BI Analysts to manage client reporting requirements and support data-driven insights
• Automate manual data processes to boost efficiency, consistency, and data quality
• Maintain and enhance existing data infrastructure, pipelines, and reporting data flows
• Document data infrastructure, pipelines, models, and processes with the product Technical Writer
• Partner with Product, BI, Engineering, and Data Analytics teams to ensure reliable reporting and analytics
• Share technical knowledge and contribute to continuous improvement of data systems and processes
• Stay current with modern data engineering technologies, including Databricks, PySpark, cloud platforms, data modeling, and streaming tools
• Participate in client-facing sessions as needed, including design discussions, technical presentations, and training

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Analytics, Data Engineering, or a related field
• 3–5 years of cloud data engineering experience on a major cloud platform, preferably AWS
• Hands-on experience building data pipelines in cloud environments
• Demonstrable experience with PySpark
• Hands-on experience with Databricks
• Strong proficiency in SQL and experience with SQL Server or similar relational databases
• Hands-on knowledge of data modeling, data warehousing, and BI reporting concepts
• Experience designing data models that support analytics, reporting, and business intelligence use cases
• Familiarity with BI tools and reporting environments such as Power BI or Tableau
• Experience maintaining, troubleshooting, and optimizing ETL or data pipeline processes
• Experience with streaming data tools such as Kafka, Kinesis, or similar technologies is a plus
• Experience documenting technical processes, data infrastructure, and pipeline logic
• Ability to participate in occasional client-facing design sessions, presentations, or training as needed

Technologies

• SQL Server
• AWS
• PySpark
• Databricks
• SQL
• Power BI
• Tableau
• Kafka
• Kinesis

Benefits

• Competitive pay with annual performance-based bonuses
• 401(k) plan with company matching
• Comprehensive medical, dental, and vision coverage with HSA and FSA options
• Paid vacation and sick days, plus a paid day off for your birthday
• Two paid volunteer days per year
• Free access to LinkedIn Learning and education reimbursement
• Free premium Headspace membership
• On-site fitness center at the Tempe office
• Fully stocked refreshment stations with drinks and snacks
• Tickets at Work discounts and memberships

Strengths that Shine in This Role

• Strong problem-solving mindset with emphasis on data quality and reliability
• Ability to translate BI needs into scalable technical solutions
• Clear communication and professionalism when collaborating with internal teams and clients
• Collaborative approach across technical and non-technical stakeholders
• Influence, conflict management, and productive technical discussions
• Proactive, self-directed, and capable of independent, results-focused work
• Strong organization and time management to balance multiple priorities
• Resilience in troubleshooting and supporting business-critical reporting
• Willingness to share knowledge, document work, and contribute to team cohesion

Skills That Matter in This Role

• Bachelor’s or Master’s degree in a related field
• 3–5 years of cloud data engineering on a major cloud platform, preferably AWS
• Hands-on experience building data pipelines in cloud environments
• Proficiency with PySpark
• Experience with Databricks
• Strong SQL skills and experience with SQL Server or similar relational databases
• Knowledge of data modeling, data warehousing, and BI concepts
• Experience designing analytics-friendly data models
• Familiarity with Power BI or Tableau
• Experience maintaining, troubleshooting, and optimizing ETL/data pipelines
• Experience with streaming tools such as Kafka or Kinesis is a plus
• Documentation of technical processes and pipeline logic
• Ability to participate in client-facing design sessions, presentations, or training as needed

Why You’ll Love Working Here

• Competitive pay with performance-based bonuses recognizing impact
• 401(k) plan with company matching
• Comprehensive health benefits plus savings options
• Paid time off including vacation, sick days, and your birthday
• Two paid volunteer days each year
• Free access to LinkedIn Learning and education reimbursement
• Free premium Headspace membership for mental wellness
• On-site fitness facilities at the Tempe office
• Refreshments and snacks at the office
• Exclusive discounts through Tickets at Work