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. You'll play a critical role in shaping the data infrastructure roadmap, enabling advanced analytics through AI, machine learning, and big data technologies, while embedding rigorous testing and validation practices into every stage of the data lifecycle. Key Responsibilities: Data Architecture & Engineering 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. Minimum Qualifications 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 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. Preferred Skills Experience with AI/ML frameworks (e.g., TensorFlow, 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 DevOps 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. Why Join Cox Automotive? At Cox Automotive, data is at the heart of every decision. As a Sr Data Engineer, you'll be part of a collaborative team that values innovation, precision, and impact. This role offers the opportunity to shape the future of data infrastructure and empower business leaders with trusted, high-quality data solutions. USD 101,500.00 - 169,100.00 per year Compensation: Compensation includes a base salary of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Application Deadline: 02/22/2026

Data Engineering Intern At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. WHAT WE ARE LOOKING FOR We are seeking a motivated Data Engineering Intern to join our team. This internship is open to undergraduate and graduate students who are interested in building data infrastructure that supports advanced analytics, data science, and AI-driven insights in healthcare and life sciences. You will work closely with data scientists, bioinformaticians, and engineers to help design, build, and improve data pipelines and platforms that power RefinedScience’s research and analytics initiatives. KEY ACTIVITIES Assist in building and maintaining data pipelines for ingesting, transforming, and validating clinical, biological, and real-world data Support integration of data from multiple sources (e.g., clinical data, analytics outputs, external datasets) Help develop and optimize ETL/ELT workflows to ensure data quality and reliability Collaborate with data science and bioinformatics teams to support analytics and machine learning workflows Contribute to data modeling, documentation, and best practices for data infrastructure Participate in code reviews, testing, and performance improvements Participate in Quality Reviews and Troubleshooting Communicate progress and findings to cross-functional teams MUST HAVES

• Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES. • Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling. • Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products. • Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others). • Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.

Role Description At Ryz Labs we are looking for a Senior Data Engineer role to join one of our clients' teams. The main goal of this role is to own solution design and delivery for complex customer data platforms while mentoring junior engineers. - Design end-to-end data architectures using BigQuery OR Snowflake - Own dbt project structure, modeling standards, and testing - Write and review advanced Python pipeline code - Optimize warehouse performance and cost - Act as primary technical contact for customers - Translate ambiguous business requirements into technical solutions - Mentor junior engineers - Maintain US timezone overlap Qualifications - 5–7 years of data engineering experience - Expert SQL and data modeling skills - Strong hands-on BigQuery OR Snowflake experience - Advanced Python engineering (modular, reusable code) - Deep dbt experience - Proven customer ownership and communication skills - Experience working in high pace and growth environments Requirements - Trusted technical advisor for customers - Scalable, cost-efficient solutions - Reduced rework and production issues