Hybrid Data Engineer II – Scale Data & BI Solutions

CAI Cox Automotive Corp Svcs., LLC; Atlanta (GA); Hybrid; USD 89,000 - 134,000; Full time

Benefits offered by this job

Health care insurance

401(k) retirement plan

Paid time off

Job summary

Cox Automotive is seeking a Data Engineer II to process structured and unstructured data, validate data quality, and build data products. The role supports Agile planning and advises on technologies while maintaining data pipelines and BI tooling.

The candidate will work on data warehouses, big data repositories, and application support, with opportunities to explore emerging data technologies and drive data quality improvements.

Qualifications

• Minimum: authorized to work in United States without sponsorship
• Must live within commutable distance of Atlanta, GA
• Bachelor’s degree in CS or related field and 2+ years of Data Engineering experience or Master’s with 1+ year
• Professional Data Engineer experience beyond internships

Responsibilities

• Process structured and unstructured data using batch/real-time pipelines
• Ensure data quality and automate data quality issue detection
• Participate in Agile planning and design viable data solutions
• Develop and optimize data solutions in data warehouses and big data repos
• Provide ongoing product/application support for deployed data products
• Monitor emerging data technologies and share insights with the team

Skills

Data modelling

Data quality

ETL processes

Python

Agile planning

Git

Jira/Rally

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in related field

Tools

Snowflake

SQL

MySQL

PostgreSQL

Tableau

Power BI

Sisense

AWS DMS

Python

Git

Jira

Rally

Job description

Cox Automotive is seeking a Data Engineer II to process structured and unstructured data, validate data quality, and build data products. The role supports Agile planning and advises on technologies while maintaining data pipelines and BI tooling.

The candidate will work on data warehouses, big data repositories, and application support, with opportunities to explore emerging data technologies and drive data quality improvements.