Company
Cox Automotive - USAJob Family Group
Job Profile
Management Level
Flexible Work Option
Travel %
Work Shift
Compensation
Compensation includes a base salary in the range of $89,400.00 - $134,000.00. 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
The Data Engineer II is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products. The Data Engineer also plays a role in Agile planning, providing advice and guidance, and monitoring emerging technologies.
WHAT YOU'LL DO
Key Responsibilities:
Process Structured and Unstructured Data
- Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
- Understands and enforces appropriate data master management techniques.
Data Validation and Quality
- Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.
- Work with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings.
Agile Planning
- Understands the challenges that the analytics organization faces in their day-to-day work and partner with them to design viable data solutions.
- Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.
Product Development
- Implements and optimizes data solutions in enterprise data warehouses and big data repositories.
- Installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools.
Application Support
- Provides ongoing support, monitoring, and maintenance of deployed products.
Emerging Technology Monitoring
- Actively participates in the engineering community, staying up to date on new data technologies and best practices and shares insights with others in the organization.
WHO YOU ARE
Minimum Qualifications:
- Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future
- Must live within a commutable distance of Atlanta GA
- Bachelor’s degree in Computer Science or related field and minimum 2+ years of related Data Engineering experience or Masters degree and at minimum 1 year of professional Data Engineering experience
- Must have professional working experience as a Data Engineer beyond internships
- Working experience with batch and real-time data processing frameworks
- REQUIRED: Working experience with data modelling, data access, schemas, and data storage techniques within Snowflake
- Working experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems
- Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL
- Working experience with business intelligence tools and platforms
- Working experience with data quality tools
- Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative)
- Experience with ETL processes and tools
- Experience working with Git
Preferred Qualifications:
- Scrum Developer Certification or equivalent
- Working experience with Sisense, Tableau or Microsoft PowerBI platforms
- Working experience with data modeling
- Working experience with the Snowflake ecosystem
- Working experience with AWS data tools (Database Migration Service)
- Working experience with Python
- Experience working with Jira, Rally or similar tools
Drug Testing
Benefits
About Us
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Skills Required
- Bachelor’s degree in Computer Science or a related field and at least 2 years of related Data Engineering experience, or a master’s degree and at least 1 year of professional Data Engineering experience
- Professional Data Engineering experience beyond internships
- Current authorization to work in the United States without current or future sponsorship; no OPT, CPT, STEM/OPT, or visa sponsorship
- Live within a commutable distance of Atlanta, Georgia
- Experience with batch and real-time data processing frameworks
- Experience with data modeling, data access, schemas, and data storage techniques within Snowflake
- Experience designing, developing, and implementing highly scalable, high-volume software systems and components
- Experience with relational databases such as SQL, MySQL, and PostgreSQL
- Experience with business intelligence tools and platforms
- Experience with data quality tools
- Experience with application lifecycle methodologies such as waterfall, Agile, or iterative development
- Experience with ETL processes and tools
- Experience with Git
- Scrum Developer Certification or equivalent
- Experience with Sisense, Tableau, or Microsoft Power BI
- Experience with data modeling
- Experience with the Snowflake ecosystem
- Experience with AWS data tools, including Database Migration Service
- Experience with Python
- Experience with Jira, Rally, or similar tools
Cox Automotive Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cox Automotive Inc. and has not been reviewed or approved by Cox Automotive Inc..
-
Healthcare Strength — Health coverage is described as robust, encompassing medical, dental, vision, and mental‑health resources. Wellness and wellbeing programs further enhance the value of the package.
-
Retirement Support — Retirement offerings feature a competitive employer match and well‑supported plan structure that stand out within total rewards. These elements are viewed as adding meaningful long‑term value.
-
Parental & Family Support — Paid parental leave and family‑building resources, including adoption and fertility support, are emphasized. Childcare and caregiving supports reinforce a family‑friendly package.
Cox Automotive Inc. Insights
What We Do
Cox Automotive is a global automotive services and technology provider that offers a comprehensive suite of solutions for car shoppers, auto manufacturers, dealers, lenders, and fleets.








