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:
The Lead Data Engineer is responsible for designing, building, and optimizing data pipelines and platforms that enable scalable, reliable, and high-performance data processing. This role involves developing end-to-end data solutions using technologies such as Flink, Scala, Kafka, PySpark, AWS, and SQL, while ensuring efficient ETL/ELT workflows to support analytics, reporting, and data-driven decision-making. The engineer will analyze complex data requirements, model data structures, and implement data integration solutions across diverse systems. Strong expertise in Streaming, performance tuning, and big data frameworks is essential, along with the ability to document, automate, and operationalize data pipelines for production use. The position also requires close collaboration with cross-functional teams — including data analysts, data scientists, and application developers — to ensure data quality, consistency, and availability. The Senior Data Engineer is expected to apply best practices in data engineering, cloud optimization, and governance, contributing to the continuous improvement and modernization of the data ecosystem.
ESSENTIAL RESPONSIBILITIES AND DUTIES:
- Translates business requirements to conceptual solution architecture and high-level project estimates.
- Develops, modifies, and implements Software as a Service (SaaS) hosted applications according to business requirements using:
- Scala/Flink - Any Cloud based Streaming Experience
- Kafka
- Pyspark
- SQL
- ElasticSearch
- Python
- ETL
- BigData
- AWS/Azure
- Containers and Container Orchestration
- Docker
- Kubernetes
- Logical data modeling, database definition and manipulation, and data synchronization
- Object oriented design, coding, performance tuning, and unit testing
- Research, extraction and analysis of complex data
- Authors and reviews technical requirements to ensure compliance with business requirements
- Performs proper unit testing and software code writing (including automated unit testing)
- Familiar with appropriate standards and techniques used during the Software Development Life Cycle process (SDLC, security) and applies them appropriately
- Participates in the testing process through test review and analysis, test witnessing and certification of software
- Participates in peer code reviews and develops skill level of others through mentorship
- May work on multiple tasks/projects simultaneously with various team members and/or other groups both internally and externally
- Engages effectively in self-directed time management and prioritization of workload
- Perform such other duties as may be assigned by management
- Essential to be available to work during Omnitracs corporate business hours
QUALIFICATIONS:
- EDUCATION: Bachelor’s degree in Computer Science, Computer Engineering, or Equivalent
- EXPERIENCE: 9+ years of applicable Software Development experience
KNOWLEDGE/SKILLS/ABILITIES:
- Experience in Streaming
- Experience in Pyspark/Scala/Flink
- Experience in Python
- Experience in SQL
- Experience in AWS
- Experience in Database management system
- Experience with Dockers/Containers
- Excellent interpersonal skills
- Excellent written and oral English skills
- Excellent working knowledge of logical data modeling and Database management systems
- Excellent working knowledge of python development environments and process
- Versed in industry standard Software Development Life-Cycle (SDLC) process methodologies and Agile methodologies such as SCRUM
- Knowledge of Agile practices
- Knowledge and understanding of software design patterns
- Knowledge of Open Source Technologies
- Transportation industry knowledge desired but not required
- Experience mentoring less experienced developers
- Experience Leading Data Team
- Approaches software development using industry standard concepts, practices, and procedures
- Ability to work on multiple tasks simultaneously with various team members and/or other groups both internally and externally
- Ability to effectively engage in self-directed time management and prioritization of workload
- Ability to work independently to develop new skills as needed to support new products and applications
- Ability to coordinate and oversee parallel efforts for multiple developers
