Tire Rack is seeking to modernize its legacy data environment to a scalable, cloud-native data ecosystem.
Requirements
- Strong understanding of data modeling, schema design, ETL/ELT, and data warehousing concepts
- Proficient in SQL and scripting/programming languages such as Python, Java, or Scala
- Experience with relational and non-relational databases (e.g., PostgreSQL, DB2, NoSQL)
- Knowledge of cloud-based data platforms such as AWS, GCP, or Azure
- Familiarity with CI/CD, Git, containerization (Docker), and orchestration tools (e.g., Airflow, Dagster)
- Experience with data orchestration tools
- Hands-on experience with CDC frameworks (e.g., Debezium, Fivetran)
Responsibilities
- Re-architecting legacy systems
- Building cloud-first data pipelines
- Modernizing how data is collected, stored, and delivered across the company
- Building the foundation for next-generation data platforms
- Working closely with engineers, analysts, and stakeholders to build scalable solutions
Other
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or the equivalent through a combination of education and related work experience
- 3 years minimum related work experience
- Ability to work creatively and analytically in meeting team needs
- Ability to ramp up quickly in an evolving and challenging role
- Well-honed troubleshooting skills at various levels of complexity
- Must be authorized to work in the U.S. – we are unable to sponsor employment visas at this time
- Enjoy solving difficult problems
- Embrace calculated risks in pursuit of innovation
- Bring resilience and adaptability to complex environments
- Embrace diversity of thought to improve team outcomes and client experiences
