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
