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Building a better future for this generation and the next.
The Role
Designs, builds, and optimizes enterprise data architectures, pipelines, ETL/ELT workflows, and financial applications. Integrates Snowflake, AWS, databases, and BI platforms while ensuring data quality, modeling accuracy, and trusted reporting. Manages projects end to end, supports dashboards and analytics, partners with Finance and technology teams, improves processes, and evaluates emerging AI and data technologies. Mentors junior team members and contributes to Agile planning and technical standards.
Summary Generated by Built In
Cox Automotive is seeking a Senior Enterprise Applications Engineer to join our Enterprise Finance Technology team. 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
Project Delivery & Solution Design
Analytics, Reporting & Continuous Improvement
Agile Planning & Emerging Technologies
Who Are You:
Minimum Requirements:
Preferred Qualifications:
USD 92,300.00 - 153,900.00 per year
Compensation:
Compensation includes a base salary in the range of $92,300.00 - $153,900.00. 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.
EOE, including disability/vets
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.
- Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL.
- Working experience with business intelligence tools and platforms (Power BI, Tableau, or similar).
- Working experience with data quality tools.
- Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative).
- Demonstrated project management experience with complex system implementations.
- Experience working with Git.
- Experience working with AI related tools such as GitHub Copilot, Snowflake Cortex, or M365 Copilot.
- Experience implementing new tools into environments.
- Excellent analytical, problem-solving, and communication skills with the ability to present technical concepts to non-technical stakeholders.
- Availability for rotational on-call duties outside of standard business hours may be required.
Preferred Qualifications:
- 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.
USD 92,300.00 - 153,900.00 per year
Compensation:
Compensation includes a base salary in the range of $92,300.00 - $153,900.00. 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.
EOE, including disability/vets
Skills Required
- Bachelor's degree in a related discipline, or an equivalent combination of education and experience
- 4+ years of experience in data engineering or architecture, or an equivalent alternative experience combination
- 4+ years of hands-on experience in data engineering, business intelligence, and/or enterprise analytics
- Advanced SQL proficiency
- Experience with data integration tools such as MS SQL Developer, dbt, or Informatica
- Strong experience with data modeling, data access, schemas, and data storage techniques in Snowflake
- Experience designing, developing, and implementing scalable cloud data pipelines using AWS and Snowflake
- Experience with ETL/ELT patterns, data warehousing concepts, and data orchestration tools
- Experience with relational databases including SQL Server, MySQL, and PostgreSQL
- Experience with business intelligence tools such as Power BI or Tableau
- Experience with data quality tools
- Experience with application lifecycle methodologies such as waterfall, Agile, or iterative development
- Demonstrated project management experience with complex system implementations
- Experience working with Git
- Experience with AI-related tools such as GitHub Copilot, Snowflake Cortex, or Microsoft 365 Copilot
- Experience implementing new tools into technical environments
- Excellent analytical, problem-solving, and communication skills, including presenting technical concepts to nontechnical stakeholders
- Availability for rotational on-call duties outside standard business hours
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Familiarity with Apache Airflow, dbt, or Dagster
- Hands-on experience with cloud-native data platforms such as Snowflake, AWS Redshift, or 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 such as Kafka or Kinesis
What the Team is Saying
Belinda
Manager of Network Automation
Tonya
Director of Agile Delivery
Chris
Manager of Engineering Support & Delivery
John Chapman
National Client Sales Director, Cox Automotive
Kib Yahyehyrab
Audit Analysis, Cox Enterprises
Jenny Arias
Marketing & Events Assistant, Cox Farms
Cox Enterprises Compensation & Benefits Highlights
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Healthcare Strength — Medical coverage is presented as robust, with multiple plan options, in‑network preventive care covered in full, and added programs for telehealth, mental health, and chronic conditions. Materials also highlight ongoing enhancements and vendor partnerships that broaden access and support.
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Parental & Family Support — Family-building benefits are emphasized, including paid parental leave, fertility support via specialized partners, adoption assistance, lactation resources, and childcare discounts. Feedback suggests these offerings help employees navigate key life stages with practical support.
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Retirement Support — Retirement programs feature a company‑matched 401(k) alongside financial coaching tools and student‑debt assistance. Feedback suggests the retirement match and savings resources are viewed as meaningful components of total compensation.
Cox Enterprises Insights
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The Company
What We Do
Cox Enterprises is a family-owned enterprise spanning 125+ years of innovation. Through our diverse network of businesses, our people are shaping the future with bold thinking, cutting-edge technology and an unwavering commitment to doing what’s right. Across a range of industries — including automotive, agriculture, cleantech, journalism and more — we’re building a better future for this generation and the next. Make your mark at Cox!
Why Work With Us
Founded in 1898, Cox Enterprises is a community of kind, grounded individuals who work together to drive positive change across vital industries. At Cox, employees experience meaningful work, great benefits, work-life balance and a supportive team environment, plus ample opportunities for career growth across our family of businesses.
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Cox Enterprises Teams
Product & Tech
About our Teams
Cox Enterprises Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible
