> Markdown version of [/jobs/ext/1741331-enterprise-applications-engineer](https://www.wearedevelopers.com/jobs/ext/1741331-enterprise-applications-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Applications Engineer - **Company:** Cox Automotive - **Location:** Vinings, GA, United States - **Experience:** Expert - **Salary:** $92,300.0 - $153,900.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Adobe InDesign, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Application Lifecycle Management, ARM Architecture, Data Validation, Data Cleansing, Information Engineering, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Security, Data Systems, Data Warehousing, Relational Databases, DevOps, PostgreSQL, Machine Learning, Meta-Data Management, Microsoft SQL Server, MySQL, Scrum Methodology, Regression Testing, Power BI, Cloud Services, Tensorflow, SQL Databases, Systems Integration, Tableau (Software), Data Storage Technologies, Cloud Platform System, Sql Optimization, GitHub Copilot, Pytorch, Snowflake, Technical Debt, Git, Scikit Learn, Apache Kafka, Stream Processing, Azure Synapse Analytics, Data Pipelines, Amazon Redshift - **Published:** July 7, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2859088408-2 ## About the Role * 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., * 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. ## 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. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)