Cox Automotive is hiring a Data Engineer II to support enterprise data processing, data quality, and data product delivery in Atlanta.

Gather and process raw data across structured, semi-structured, and unstructured formats using batch and real-time data processing frameworks.
Apply and enforce data master management techniques.
Ensure data quality by implementing tools and frameworks that automate identification of data quality issues.
Partner with internal and external data providers on data validation, provide feedback, and make customized changes to data feeds and data mappings.
Collaborate with analytics teams to understand day-to-day challenges and design viable data solutions.
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, distributed computation, and big data analytics tools.
Provide ongoing support, monitoring, and maintenance for deployed products.
Stay current on emerging data technologies and best practices and share insights with the engineering community.

Currently 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 the future).
Must live within commutable distance of Atlanta, GA.
Education and experience: Bachelor’s degree in Computer Science or a related field and 2+ years of related Data Engineering experience, or a Master’s degree with at least 1 year of professional Data Engineering experience.
Professional working experience as a Data Engineer beyond internships.
Experience with batch and real-time data processing frameworks.
Required: Working experience with data modelling, 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 systems.
Working experience with relational databases including SQL, MySQL, and 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, and iterative approaches.
Experience with ETL processes and tools.
Experience working with Git.

Flexibility to take as much vacation with pay as consistent with duties, company needs, and obligations.
Seven paid holidays throughout the calendar year.
Up to 160 hours of paid wellness annually for personal wellness or that of family members.
Additional paid time off: bereavement leave.
Additional paid time off: time off to vote.
Additional paid time off: jury duty leave.
Additional paid time off: volunteer time off.
Additional paid time off: military leave.
Additional paid time off: parental leave.

Base salary range: $89,400 - $134,000 per year.
Base pay may vary within the anticipated range based on the ultimate location and the selected candidate’s knowledge, skills, and abilities.
May be eligible for additional compensation, which could include an incentive program.

Data Engineer II

Job Description