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Software Engineer

Who We Are
Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.
The Role
We are seeking a skilled Software Engineer - Data to join our data engineering and analytics team. This role focuses on building, enhancing, and maintaining data pipelines, analytical datasets, and reporting solutions that support business decision-making. You will work closely with analytics, product, and business stakeholders to deliver reliable, scalable data solutions using modern data and BI tools.

What You’ll Do
  • Design, develop, and maintain data pipelines and transformations using SQL, Python, and Alteryx
  • Build and optimize queries, stored procedures, and data models in SQL Server
  • Develop and maintain SSAS Cubes to support performant analytical workloads
  • Create and support dashboards and reports using Tableau, ensuring data accuracy and usability
  • Collaborate with analysts and business users to translate requirements into scalable data solutions
  • Implement data quality checks, validation logic, and monitoring for production datasets
  • Participate in code reviews and follow best practices using GIT version control
  • Troubleshoot data issues, performance bottlenecks, and production incidents
  • Document data flows, logic, and technical designs to support maintainability
  • Contribute to continuous improvement of data engineering standards and processes
What You’ll Bring
  • 3–5 years of experience in data engineering, analytics engineering, or a similar role
  • Strong proficiency in SQL with hands-on experience in SQL Server
  • Working experience with Python for data processing or automation
  • Experience building workflows using Alteryx
  • Hands-on experience with SSAS Cubes (tabular or multidimensional)
  • Strong experience creating dashboards and reports in Tableau
  • Familiarity with GIT for version control and collaborative development
  • Solid understanding of data modeling, ETL/ELT concepts, and analytical best practices
  • Ability to work independently while collaborating effectively across teams

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