KUBRA provides customer experience management solutions to some of North America’s largest utility, insurance, and government entities. From billing and payments to mapping and proactive communications, our solutions help organizations deliver seamless, reliable customer experiences at scale.
With a strong focus on innovation, security, and data-driven insights, KUBRA empowers millions of customers every day. Joining KUBRA means being part of a collaborative, forward-thinking team that values technology, continuous improvement, and delivering meaningful impact.
About the Role
We’re looking for a Data Engineer to join our Product Development - Business Intelligence team. In this role, you’ll design, build, and maintain scalable data infrastructure and cloud-based data pipelines that enable reliable data processing, reporting, and insights.
You’ll work closely with BI Analysts, product teams, and cross-functional partners to ensure data is high-quality, accessible, and structured for analysis. This role supports business intelligence efforts by developing data models, improving ETL processes, automating manual workflows, and helping deliver reliable client-facing reporting solutions.
How You’ll Contribute
- Design, build, and maintain scalable cloud-based data pipelines and ETL processes to support BI and reporting solutions
- Develop and maintain data infrastructure across SQL Server, AWS, and cloud-based data platforms
- Build, troubleshoot, and optimize data pipelines using PySpark, Databricks, SQL, and cloud data services
- Design and implement data models optimized for analytics, warehousing, and reporting use cases
- Partner with BI Analysts to manage client reporting requirements and support data-driven insights
- Automate manual data processes to improve efficiency, consistency, and data quality
- Maintain and improve existing data infrastructure, pipelines, and reporting data flows
- Work with the product Technical Writer to document data infrastructure, pipelines, models, and processes
- Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions
- Share technical knowledge with coworkers 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 data tools
- Participate in client-facing sessions when needed, including design discussions, technical presentations, and training
Strengths That Shine in This Role
- Strong problem-solving mindset with a focus on data quality, reliability, and continuous improvement
- Ability to translate BI and reporting requirements into scalable technical data solutions
- Strong communication skills and professionalism when working with internal teams and clients
- Collaborative approach with the ability to build relationships across technical and non-technical teams
- Ability to influence others, manage conflicts, and support productive technical discussions
- Proactive and self-driven, with the ability to work independently in a results-focused environment
- Strong organization and time management skills, especially when balancing multiple priorities
- Comfortable troubleshooting issues, handling pressure, and supporting business-critical reporting needs
- Willingness to share knowledge, document work clearly, and contribute to a cohesive team environment
Skills That Matter in This Role
- 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 working 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/data pipeline processes
- Experience with streaming data tools such as Kafka, Kinesis, or similar technologies is an asset
- 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’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
Skills Required
- 3-5 years of experience in data engineering
- Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or related field
- Hands-on experience with AWS or other cloud platforms
- Strong experience building data pipelines using Python, SQL, Spark
- Solid understanding of data modeling for analytics and reporting
- Strong proficiency in SQL and Python
- Experience with tools such as Spark, Kafka, Databricks, Snowflake, Amazon Redshift, and dbt
- Familiarity with BI tools like Power BI or Tableau
What the Team is Saying
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KUBRA Compensation & Benefits Highlights
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Leave & Time Off Breadth — Time off includes multi‑week paid vacation to start, plus holidays, personal days, volunteer days, and a paid birthday off. Some materials also reference dedicated mental‑health days and a casual environment with frequent company events.
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Healthcare Strength — Coverage spans medical, dental, and vision alongside wellness initiatives and mental‑health resources. Additional protections such as EAP, disability, and life insurance are also identified across employer materials and profiles.
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Retirement Support — A 401(k) with employer match is consistently described with a defined vesting schedule. Canadian roles are cited with RRSP matching, indicating cross‑region retirement offerings.
KUBRA Insights
What We Do
KUBRA provides customer experience management solutions to some of the largest utility and government entities across North America. Our portfolio includes billing and payments, alerts and preference management, artificial intelligence solutions, mobile apps, and utility mapping solutions. KUBRA reaches over 40% of households in the U.S. and Canada, providing performance-driven value to more than 475 clients and their customers.
Why Work With Us
At KUBRA, inclusive culture and employee development are prioritized alongside impactful work and social responsibility, fostering a fulfilling, forward-thinking workplace.
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KUBRA Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
