KUBRA provides customer experience management solutions to some of North Americas 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
Were looking for a Data Engineer to join our Product Development - Business Intelligence this role youll design build and maintain scalable data infrastructure and cloud-based data pipelines that enable reliable data processing reporting and insights.
Youll 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 Youll 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 ServerAWS and cloud-based data platforms
Build troubleshoot and optimize data pipelines using PySparkDatabricksSQL 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 DatabricksPySpark 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
Bachelors or Masters degree in Computer Science Statistics Analytics Data Engineering or a related field
35 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 KafkaKinesis 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 Youll 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 withfree 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
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!
KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility insurance and government entities across North America. KUBRA offers billing and payments mapping mobile apps proactive communications and artificial intelligence solutions for customers. With more than 1.5 billion customer interactions annually KUBRA services reach over 40% of households in the U.S. and Canada. KUBRA is an operating subsidiary of Hearst.
Our office is small enough to allow creative individuals to flourish yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive focused and self-motivated. We offer a casual work environment competitive compensation and a stellar benefits program.
KUBRA does not typically provide immigration-related assistance including employment-based work visa (e.g. H-1B) sponsorship work permit applications and extensions permanent residence (green card) sponsorship LMIA applications or permanent residency nominations. Candidates must ensure they have legal authorization to work in the U.S/ Canada. All sponsorship determinations are case by case based on business need.
Required Experience:
IC
About UsKUBRA provides customer experience management solutions to some of North Americas 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...
About Us
KUBRA provides customer experience management solutions to some of North Americas 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
Were looking for a Data Engineer to join our Product Development - Business Intelligence this role youll design build and maintain scalable data infrastructure and cloud-based data pipelines that enable reliable data processing reporting and insights.
Youll 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 Youll 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 ServerAWS and cloud-based data platforms
Build troubleshoot and optimize data pipelines using PySparkDatabricksSQL 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 DatabricksPySpark 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
Bachelors or Masters degree in Computer Science Statistics Analytics Data Engineering or a related field
35 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 KafkaKinesis 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 Youll 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 withfree 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
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!
KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility insurance and government entities across North America. KUBRA offers billing and payments mapping mobile apps proactive communications and artificial intelligence solutions for customers. With more than 1.5 billion customer interactions annually KUBRA services reach over 40% of households in the U.S. and Canada. KUBRA is an operating subsidiary of Hearst.
Our office is small enough to allow creative individuals to flourish yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive focused and self-motivated. We offer a casual work environment competitive compensation and a stellar benefits program.
KUBRA does not typically provide immigration-related assistance including employment-based work visa (e.g. H-1B) sponsorship work permit applications and extensions permanent residence (green card) sponsorship LMIA applications or permanent residency nominations. Candidates must ensure they have legal authorization to work in the U.S/ Canada. All sponsorship determinations are case by case based on business need.
We provide customer experience solutions to help companies engage with their customers through multiple channels. Discover our suite of services today.