Cox Automotive is hiring a Data Engineer II in Atlanta, GA (onsite) to help build and support data products that power analytics. This role focuses on processing structured and unstructured data, strengthening data quality, and delivering reliable data solutions across enterprise platforms.
Compensation: base salary range of $89,400 to $134,000 per year. Base pay may vary based on factors including the position’s location and the selected candidate’s knowledge, skills, and abilities. The role may also be eligible for additional compensation through an incentive program.
What you’ll do
- Collect and process raw data across batch and real-time frameworks, including structured, semi-structured, and unstructured sources.
- Apply data master management techniques to support consistent, well-governed data.
- Validate and maintain data quality by implementing tools and frameworks that automate identification of data quality issues.
- Collaborate with internal and external data providers on validation, then provide feedback and make customized updates to feeds and data mappings.
- Partner with analytics teams to design viable data solutions aligned with day-to-day analytics challenges.
- Recommend improvements to processes, technology, and interfaces to increase team effectiveness and reduce technical debt.
- Implement and optimize data solutions in enterprise data warehouses and big data repositories.
- Install, maintain, monitor, and support business intelligence and distributed computation tools for big data analytics.
- Provide ongoing support, monitoring, and maintenance for deployed data products.
- Stay current with new data technologies and best practices, contribute to the engineering community, and share insights with others.
Requirements
- Current authorization 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 the future.
- Live within commutable distance of Atlanta, GA.
- Bachelor’s degree in Computer Science or a related field, plus 2+ years of related Data Engineering experience. (Alternatively, a Master’s degree with at least 1 year professional Data Engineering experience.)
- Professional experience as a Data Engineer beyond internships.
- Working experience with batch and real-time data processing frameworks.
- Required: 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, including client-facing web applications and major internet-oriented applications and systems.
- Working experience with relational databases such as SQL, MySQL, Postgres/PostgreSQL.
- Working experience with business intelligence tools and platforms.
- Working experience with data quality tools.
- Experience with application lifecycle methodologies such as waterfall, Agile, or iterative.
- Experience with ETL processes and tools.
- Experience working with Git.
Technologies
- Snowflake, SQL, MySQL, Postgres, PostgreSQL
- ETL, Git, Agile, waterfall, iterative, Scrum
Benefits
- Flexibility on paid vacation (up to the amount they deem consistent with duties, company needs, and obligations)
- Seven paid holidays throughout the calendar year
- Up to 160 hours of paid wellness annually for your own wellness or that of family members
- Additional paid time off for bereavement leave, voting, jury duty, volunteer time, and military leave
- Parental leave
Preferred qualifications
- Scrum Developer Certification or equivalent
- Experience with Sisense, Tableau, or Microsoft PowerBI
- 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 with Jira, Rally, or similar tools