Company
Cox Automotive - USA
Job Family Group
Engineering / Product Development
Job Profile
Data Engineer II
Management Level
Individual Contributor
Flexible Work Option
Hybrid - Ability to work remotely part of the week
Travel %
Yes, 5% of the time
Work Shift
Day
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…