Senior Enterprise Applications Engineer

Information Technology Senior Management Forum; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize data architecture and pipelines powering enterprise finance analytics. You will work across Finance, Accounting, FP&A, and tech groups to deliver data-driven solutions, mentor juniors, and contribute to Agile planning.

The role emphasizes data quality, scalable ETL/ELT, and using tools like Snowflake, AWS, dbt, and Informatica to enable trusted, actionable insights for consolidation, planning,

Qualifications

• Bachelor’s degree in related discipline; 4+ years in data engineering/architecture.
• Advanced SQL and experience with data integration tools.
• Strong data modeling, data access, and storage techniques in Snowflake.
• Experience with cloud data platforms (AWS, Snowflake) and ETL/ELT patterns.
• Hands-on BI/reporting experience (Power BI, Tableau).
• Experience with AI-related tools and coding assistance tools.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
• Deliver end-to-end data solutions for finance analytics and reporting.
• Support dashboards and KPI insights using Power BI or Tableau.
• Leverage AI-assisted tools to accelerate development and validation workflows.
• Stay current on data technologies and contribute to design standards.

Skills

SQL proficiency

Data engineering

ETL/ELT

BI dashboards

AI tools

Git

Communication

Education

Bachelor’s degree in related discipline

Tools

dbt

Informatica

Snowflake

AWS

PostgreSQL

MySQL

SQL Server

Power BI

Tableau

GitHub Copilot

Snowflake Cortex

Azure Synapse

Job description

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

• 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.

About Cox

Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses – which includes Cox Automotive and Cox Communications – is forging a better future for us all. Ready to make your mark? Join us today!

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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.