Sr Data Engineer

Company

Cox Automotive - USA

Engineering / Product Development

Sr Data Engineer

Individual Contributor

Hybrid - Ability to work remotely part of the week

Yes, 5% of the time

Day

Compensation includes a base salary of $ - $. 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.

The Senior Data Engineer is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products. The Senior Data Engineer also plays a role in Agile planning, providing advice and guidance, and monitoring emerging technologies.

• 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.

• 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.

• 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.

• 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.

• Provides ongoing support, monitoring, and maintenance of deployed products.

• Actively works with less experienced data engineers providing technical guidance and oversight.

• 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.

• Must live within a commutable distance to Atlanta GA
• 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.
• Bachelor’s degree in Computer Science or related field and 4+ years related experience OR Masters Degree w/ 2+ years experience OR 16 years experience of equivalent combination of industry related professional experience and education.
• Working experience with batch and real-time data processing frameworks
• Must have strong 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 asSQL, 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
• Experience working with AI related tools such as co-pilot
• Experience implementing new tools into environments

• Experience or exposure to DBT
• Scrum Developer Certification or equivalent
• Working experience with Sisense platform
• Working experience with SQL Server Integration Services
• Working experience with AWS data tools (Database Migration Service)
• Working experience with Python
• Experience working with Jira, Rally or similar tools

To be employed in this role, you’ll need to…