Company Cox Automotive - USA Job Family Group Engineering / Product Development Job Profile Sr Data Engineer Management Level Individual Contributor Flexible Work Option Can work remotely anywhere in the specified country Travel % No Work Shift Day 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. Job Description 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. - Ensure alignment with enterprise architecture standards and business goals Data Quality & Automated Testing - Develop and execute automated test cases to validate ETL workflows, data pipelines, and reporting logic. - Create regression test suites to ensure ongoing data integrity and system stability. - Monitor and troubleshoot data anomalies, proactively identifying root causes and implementing fixes. - Maintain high standards of data quality across all reporting and analytical outputs. Advanced Data Solutions - Develop tools and programming to cleanse, organize, and transform data using AI, ML, and big data techniques. - Automate manual data processes, transforming them into repeatable, scalable capabilities. - Collaborate on application development projects to evolve database architecture and design. Data Analysis & Reporting - Analyze current and historical performance data to identify trends, variances, and opportunities. - Support dashboard and reporting development using tools like Tableau, Power BI, or Domo. - Fulfill routine and ad-hoc reporting requests using accepted metrics and methodologies. Collaboration & Stakeholder Engagement - Partner with data consumers, project managers, and business stakeholders to define logical and physical database designs for analytics models. - Collaborate with internal and external data providers to validate data, provide feedback, and customize data feeds and mappings. - Communicate findings and test results clearly to both technical and non-technical audiences. Process Improvement & Innovation - Identify and implement improvements in internal data management and testing processes. - Influence the data infrastructure roadmap through technical leadership and innovation. - Contribute to the development of design standards and assurance processes for software, systems, and applications. 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. Drug Testing To be employed in this role, you’ll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited. 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. About Us Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells – or simply uses – cars. Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Application Deadline: 03/14/2026

• Construir, sustentar e monitorar a infraestrutura de dados nos ambientes Cloud e On premisses, garantindo padronização, qualidade, escalabilidade e consistência da informação, o que inclui: • Implementação e otimização de pipelines de dados em nuvem Google (GCP); • Coleta, limpeza, transformação e análise de dados de diversas fontes; • Tratamento, preparação e classificação de dados; • Construção de modelos de grandes conjuntos de dados; • Construção de processos de qualidade de dados; • Manutenção de pipelines de CI/CD (DevOps).

• Design, build, and maintain scalable ETL/ELT pipelines. • Integrate data from internal and external systems (CRMs, LMS, marketing platforms, databases, etc.). • Develop and maintain API integrations (REST/JSON, OAuth, etc.). • Automate recurring data processes using Python (or similar scripting languages). • Design and maintain data models optimized for analytics and operational reporting. • Work with cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient storage and retrieval. • Implement data validation and monitoring mechanisms to ensure accuracy and reliability. • Proactively monitor and resolve data pipeline failures. • Create dashboards and data applications using low-code/no-code platforms (e.g., Power BI, Retool, Coda, Tableau, Google Sheets). • Translate complex datasets into clear, actionable insights for business stakeholders. • Collaborate with analysts and business teams to define KPIs and reporting requirements. • Suggest improvements to existing data flows and business processes. • Maintain structured and comprehensive technical documentation (pipelines, integrations, data definitions, architecture). • Participate in cross-functional discussions to align technical implementation with business needs

About Us Silvur is modernizing what retirement decision-making in America looks like. We partner with financial institutions to deliver world-class tools and educational resources to their account holders—including personalized content, calculators, and connections to healthcare and financial services—to support the critical decisions their members make in their 50s, 60s, and through retirement. Our white-labeled online platform is available to millions of credit union members and has been named to the Forbes Fintech 50 Most Innovative Companies. We’ve been featured in The New York Times, Fortune, CNBC, and Yahoo! Finance, and are backed by leading VCs like Anthemis and strategic investors including Curql, Reseda Group, Idaho Central Credit Union, Maps, WESECU, and Mission Federal Credit Union. We believe health and wealth are inseparable in retirement—and we’re reimagining how credit union members are educated and supported during their Medicare journey. The introduction of our full-service, concierge Medicare agency, Silvur Insurance, in 2024 allows us to extend our services to provide members with much-needed one-on-one guidance led by licensed insurance agents. Our education-first model ensures trust, clarity, and personalized care. About the Role We're looking for a contract Data Engineer to partner with our Principal Data Scientist in maintaining and improving our legacy reporting infrastructure. This is a hands-on, execution-focused role — you'll spend most of your time writing and optimizing SQL, working within Equals for reporting, and ensuring our data pipelines from HubSpot and postgres remain accurate and reliable. What You'll Do - Write, debug, and optimize SQL queries that power legacy dashboards and recurring reports. - Work in Equals to build, maintain, and troubleshoot reporting workflows. - Navigate and document existing database schemas, identifying data quality issues or inconsistencies. - Extract, transform, and validate data from HubSpot (contacts, deals, campaigns, and custom objects) and Postgres databases to support business reporting needs. - Collaborate closely with our Principal Data Scientist to prioritize work and ensure continuity of reporting during the engagement.