Senior Data Engineer

The
** Insights & Advisory
** team at
** Cox Automotive
** is seeking a highly skilled and forward-thinking
** Senior Data Engineer
** to design, build, and optimize data architecture and pipelines that power strategic decision-making across the enterprise. This role combines deep technical expertise with a strong focus on
** data quality and integrity**, ensuring that data is accessible, trusted, and actionable for internal teams and automotive OEM clients.
* Design and implement robust data architectures supporting structured and unstructured data from internal and external sources.
* Build and maintain scalable, secure data pipelines using cloud-based and distributed technologies.
* Establish data structures and routing mechanisms based on business and technical requirements.
* Ensure alignment with enterprise architecture standards and business goals
* Proven experience designing and building data pipelines and architectures in cloud environments (e.g., AWS, Azure, Snowflake).
* Strong programming skills in Python, Scala, or Java, and proficiency in SQL.
* Experience with big data technologies (e.g., Spark, Kafka, Hadoop) and machine learning frameworks.
* Familiarity with ETL processes, data modeling, and data warehousing concepts.
* Experience with automated testing frameworks (e.g., PyTest, Selenium, dbt tests) and data validation techniques.
* Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.
* Experience supporting cross-functional teams including Finance, Sales, and Product Development is a plus.

- Bachelor’s degree in a related discipline and 4**+ years of experience in data engineering or architecture**.

The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a Ph.D. and up to 1 year of experience; or 16 years’ experience in a related field
* Experience with AI/ML frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn) for data transformation and predictive modeling.
* Familiarity with data orchestration tools such as Apache Airflow, dbt, or Dagster.
* Hands-on experience with cloud-native data platforms (e.g., Snowflake, AWS Redshift, Azure Synapse).
* Knowledge of data governance and metadata management best practices.
* Experience integrating external data sources and APIs into enterprise data ecosystems.
* Strong understanding of CI/CD pipelines and Dev Ops practices for data engineering.
* Ability to work in Agile environments and contribute to sprint planning and backlog grooming.
* Exposure to real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus.

Cox brings together the world’s greatest minds to help breathe life into new possibilities – and drive innovation for a better future. That’s why we look for individuals who share our pioneering spirit, have imaginative ideas and are fearless when it comes to tackling the world’s biggest challenges.
Our people love technology – and they love making a difference. They have a passion for finding new solutions and working with brilliant colleagues. Every day they dedicate themselves to a huge range of exciting projects, contributing to the Cox vision around the globe.
From engineering new sustainability solutions that conserve water and energy to creating the infrastructure for the smart cities of tomorrow, there’s no challenge too great for our pioneers. And there’s no shortage of opportunities for you to make a difference.
Come and experience the dynamic, collaborative and creative environments where your ideas are welcome and new discoveries are waiting. To help you grow to your full potential, we strive to support our employees in their career aspirations and promote the freedom to explore new horizons.
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