Senior Data Engineer (Finance Technology)

Cox Automotive; Atlanta (GA); Hybrid; USD 92,000 - 154,000; Full time

Benefits offered by this job

Hybrid work option

Job summary

Cox Automotive is seeking a Senior Data Engineer (Finance Technology) to join our Enterprise Finance Technology team. You will design, build, and optimize data pipelines across enterprise financial applications, enabling trusted analysis for consolidation, planning, and reporting.

The role combines data engineering excellence with business intelligence capabilities to deliver data-driven solutions and scalable analytics.

Qualifications

• Bachelor's degree in related field; 4+ years data engineering/analytics experience.
• Advanced SQL proficiency with data integration tools (dbt, Informatica).
• Strong data modeling, schemas, and Snowflake storage knowledge.
• Experience with cloud data pipelines (AWS, Snowflake) and ETL/ELT patterns.
• Experience with Power BI/Tableau BI platforms and data quality tooling.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
• Ensure data integrity with automated quality checks and validation frameworks.
• Plan, manage, and deliver small to medium data projects end-to-end.
• Support dashboard and reporting development to deliver KPI insights.
• Leverage AI-assisted tools to accelerate development and validation workflows.
• Collaborate with Finance and Analytics teams to understand needs and reduce technical debt.
• Stay current on new data technologies and contribute to design standards.

Skills

Advanced SQL

Data engineering

Data modeling

BI analytics

Cloud data warehouses

Education

Bachelor's degree in related discipline

Tools

Snowflake

dbt

Informatica

Power BI

Tableau

AWS

Job description

Company

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 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.

Job Description

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.

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, iterat