Data Engineer

KUBRA is seeking a Data Engineer to join the Product Development - Business Intelligence team in Tempe, AZ, onsite. The role focuses on designing, building, and maintaining scalable data infrastructure and cloud-based pipelines to enable reliable data processing, reporting, and insights.

Responsibilities

• Develop, deploy, and maintain scalable cloud data pipelines and ETL workflows to underpin BI and reporting capabilities
• Construct and manage data infrastructure across SQL Server, AWS, and cloud-native data platforms
• Build, diagnose, and optimize data pipelines using PySpark, Databricks, SQL, and associated cloud services
• Create data models tailored for analytics, data warehousing, and reporting scenarios
• Collaborate with BI analysts to manage client reporting requirements and support data-driven insights
• Automate routine data processes to improve efficiency, consistency, and data quality
• Maintain and enhance existing data infrastructure, pipelines, and reporting data flows
• Partner with the Product Technical Writer to document data infrastructure, pipelines, models, and processes
• Work with Product, BI, Engineering, and Data Analytics teams to ensure dependable reporting and analytics solutions
• Share expertise with colleagues and contribute to ongoing improvements of data systems and processes
• Stay current with modern data engineering technologies, including Databricks, PySpark, cloud platforms, data modeling, and streaming data tools
• Participate in client-facing sessions as required, including design discussions, technical presentations, and training

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Analytics, Data Engineering, or 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
• Proven experience with PySpark
• Practical experience with Databricks
• Strong SQL proficiency and experience working with SQL Server or similar relational databases
• Practical 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 platforms such as Power BI or Tableau
• Experience maintaining, troubleshooting, and optimizing ETL and data pipelines
• Experience with streaming data tools such as Kafka or Kinesis 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 birthday day off
• Two paid volunteer days
• Free access to LinkedIn Learning and an education reimbursement program
• Free premium Headspace membership
• On-site fitness center in 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 and reporting needs into scalable technical data solutions
• Effective communication and professionalism when engaging with internal teams and clients
• Collaborative approach that builds relationships across technical and non-technical teams
• Capacity to influence others, manage conflicts, and drive productive technical discussions
• Proactive, self-driven, and capable of working independently in a results-focused environment
• Excellent organization and time management when balancing multiple priorities
• Comfort with troubleshooting under pressure to support critical reporting needs
• Willingness to share knowledge, document work clearly, and contribute to a cohesive team

Skills that matter in this role

• Bachelor’s or Master’s degree in Computer Science, Statistics, Analytics, Data Engineering, or 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
• Proven experience with PySpark
• Practical experience with Databricks
• Strong SQL proficiency and experience with SQL Server or similar relational databases
• Practical knowledge of data modeling, data warehousing, and BI reporting concepts
• Experience designing data models that support analytics, reporting, and BI use cases
• Familiarity with BI tools and reporting environments such as Power BI or Tableau
• Experience maintaining, troubleshooting, and optimizing ETL/data pipelines
• 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

Why you will love working here

• Competitive compensation with annual performance-based bonuses
• 401(k) plan with company matching to support your financial future
• Robust medical, dental, and vision coverage with HSA and FSA options
• Generous paid time off, plus a birthday day off
• Two paid volunteer days to contribute to your community
• Free access to LinkedIn Learning and an education reimbursement program
• Complimentary premium Headspace membership for mental wellness
• On-site fitness center at the Tempe location
• Refreshment stations with complimentary drinks and snacks
• Tickets at Work discounts and memberships for employee perks