Description

Employment Type: Full-Time

Salary: $95,000-$105,000, based on experience About Us

Tire Rack is embarking on a modernization journey, evolving from a legacy data environment to a scalable, cloud-native data ecosystem. We are a forward-thinking, data-driven organization committed to leveraging modern architecture and engineering practices to deliver innovative solutions across the e-Commerce sector. Join us at a pivotal time as we transform how data powers our decisions, products, and services. Position Summary

We are seeking a Data Engineer to help drive our digital transformation. In this role, you'll play a key part in re-architecting legacy systems, building cloud-first data pipelines, and modernizing how we collect, store, and deliver data across the company. This is a hands-on, impact-driven opportunity to shape scalable solutions from the ground up and enable analytics and intelligence in a rapidly evolving environment. You'll work closely with engineers, analysts, and stakeholders to build the foundation for next-generation data platforms. Required Qualifications

• 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.

• 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 working in shared service, hybrid environments.

• 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 Preferred Qualifications

• Experience with data orchestration tools.

• Hands-on experience with CDC frameworks (e.g., Debezium, Fivetran).

• Experience with modern data engineering tools and technologies (e.g., Spark, Snowflake, Databricks).

• Familiarity with legacy-to-cloud migration strategies, especially involving mainframe systems (e.g., IBM i, z/OS).

• Exposure to Lakehouse architectures, including tools like dbt, Delta Lake, and related ecosystem technologies.

• Understanding of data governance, RBAC, and privacy best practices in large-scale environments.

• Experience with BI/Visualization platforms such as Tableau, Power BI, or AWS QuickSight. What We Value

We look for individuals who:

• 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. Benefits

Full benefits including company match 401K with up to 6%, comprehensive medical, vision, and dental insurance, employee discounts on all products and services, and an amazing accrual based vacation policy

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