Senior Enterprise Applications Engineer
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-06-02
Listing for:
Cox Communications, Inc.
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Cox Automotive - USA
Job Family Group
Information Technology
Job Profile
Sr Enterprise Applications Engineer
Management Level
Individual Contributor
Flexible Work Option
Hybrid - Ability to work remotely part of the week
Travel %
No
Work Shift
Day
Compensation
Compensation includes a base salary of $92,300.00 - $. 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
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 (Postgre
SQL, 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.
- 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.
- 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, Git Hub Copilot, Snowflake Cortex, M365 Copilot) to accelerate development, data validation, and analysis workflows.
- 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.
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/Postgre
SQL. - 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 Git Hub Copilot,…
Position Requirements
10+ Years
work experience
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