Senior Data Engineer (Finance Technology)

Cox Automotive is seeking a Senior Data Engineer (Finance Technology) to join our Enterprise Finance Technology team. Internally, this position is classified as a Senior Enterprise Applications Engineer. This role is responsible for designing, building, and optimizing data architecture, pipelines, and enterprise applications that power strategic decision-making across the organization. The Senior Engineer will provide information, insights, and analyses in support of financial consolidation, planning, forecasting, and reporting-combining deep data engineering expertise with strong business intelligence capabilities to ensure data is accessible, trusted, and actionable.

This position interacts with a variety of teams-including Finance, Accounting, FP&A, and cross-functional technology groups-to understand business needs and deliver data-driven solutions. The insights and infrastructure provided by this individual will be used to make informed prioritizations, support standard and ad-hoc reporting, and enable the development of new analytical capabilities. The Senior Engineer is expected to perform these duties with minimal daily oversight while mentoring junior team members, contributing to Agile planning, and staying current on emerging technologies.

What You'll Do: Primary Responsibilities: Data Engineering, Quality & Pipeline Development Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Snowflake, AWS, dbt, and/or Informatica, integrating enterprise financial applications with data warehouses, relational databases (PostgreSQL, MySQL, SQL Server), and BI platforms. Ensure data integrity by implementing automated quality checks, regression testing, validation frameworks, and anomaly monitoring-working with internal and external data providers to customize data feeds and mappings.

Project Delivery & Solution Design Independently plan, manage, and deliver small to medium-sized projects end-to-end (requirements gathering, solution design, development, testing, deployment, documentation, and post-implementation support), while also contributing technical components to larger cross-functional programs. Analytics, Reporting & Continuous Improvement Support dashboard and reporting development using Power BI, Tableau, or similar tools to deliver KPI insights, and lead enhancements that improve financial processes, reduce manual work, and increase accuracy.

Leverage AI-assisted tools (e.g., Claude, GitHub Copilot, Snowflake Cortex, M365 Copilot) to accelerate development, data validation, and analysis workflows. Agile Planning & Emerging Technologies Partner with finance and analytics teams to understand day-to-day challenges and design viable data solutions; recommend improvements to processes, technology, and interfaces that reduce technical debt.

Stay current on new data technologies, AI, ML, Data Science, CPM platform innovations, and best practices; share insights and contribute to design standards across the organization. Who Are You: Minimum Requirements: Bachelor's degree in 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. 4+ years of hands-on experience in data engineering, business intelligence, and/or enterprise analytics across multiple functional areas (reporting, dashboards, data pipelines, and data modeling). Advanced SQL proficiency and experience with data integration tools (e.g., MS SQL Developer, dbt, Informatica). Must have strong working experience with data modeling, data access, schemas, and data storage techniques within Snowflake.

Working experience in design, development, and implementation of scalable data pipelines in cloud environments (AWS, Snowflake). Working experience with ETL/ELT patterns, data warehousing concepts, and data orchestration tools.