Data Engineer I

Discount Tire; South Bend (IN); On-site; USD 65,000 - 90,000; Full time

Job summary

Tire Rack is seeking a Data Engineer I to join the IT Software Development team. You’ll develop and maintain cloud-based data pipelines using AWS, Databricks, Python, and SQL to empower analytics and data-driven decision-making across the organization.

This role emphasizes scalable solutions and collaboration with IT and business partners. This entry-level position is ideal for a recent graduate with strong Python and SQL fundamentals, a curiosity for data engineering, and a commitment to data

Qualifications

• 0–2 years of experience in data engineering, cloud development, or a related technical field.
• Foundational knowledge of Python and SQL.
• Familiarity with AWS services, including S3, IAM, EC2, and RDS.
• Exposure to Databricks, Apache Spark, or similar distributed data processing technologies preferred.

Responsibilities

• Develop, maintain, and troubleshoot ETL/ELT data pipelines using Databricks, PySpark, and SQL.
• Integrate data from various AWS sources, including S3, RDS, and APIs, into Delta Lake.
• Monitor data workflows, identify issues, and ensure reliable data processing.
• Write and optimize SQL queries to support data accessibility and performance.
• Assist with data governance, security, and access management using Unity Catalog.
• Collaborate with IT teams and business partners to support data warehousing and analytics initiatives.

Skills

Databricks

PySpark

SQL

Python

AWS

S3

RDS

Unity Catalog

ETL/ELT

Delta Lake

Education

Bachelor's degree in CS/IT/SE or related field

Tools

Databricks

Apache Spark

Unity Catalog

Job description

Overview

Data Engineer I

Department: TR IT Software Development Reports To: Data Engineer Manager FLSA Status: Exempt, Full-Time

Build the Data. Power the Possibilities.

Tire Rack is looking for a motivated and detail-oriented Data Engineer I to join our IT Software Development team! This is an exciting opportunity for an emerging data professional who is passionate about technology, problem-solving, and building scalable cloud-based data solutions.

In this role, you'll work with modern technologies, including AWS, Databricks, Python, SQL, and Delta Lake, to develop and maintain data pipelines that support business intelligence, analytics, and data-driven decision-making across the organization.

If you're eager to expand your technical skills, collaborate with experienced engineers, and make a meaningful impact through data, we want to hear from you!

What You'll Do

• Develop, maintain, and troubleshoot ETL/ELT data pipelines using Databricks, PySpark, and SQL.
• Integrate data from various AWS sources, including S3, RDS, and APIs, into Delta Lake.
• Monitor data workflows, identify issues, and ensure reliable data processing.
• Write and optimize SQL queries to support data accessibility and performance.
• Assist with data governance, security, and access management using Unity Catalog.
• Utilize scripting languages and tools to integrate data from multiple sources.
• Collaborate with IT teams and business partners to support data warehousing and analytics initiatives.
• Follow cloud security standards and industry best practices.
• Stay current with emerging technologies and continuously develop technical expertise.
• Deliver accurate, reliable solutions while providing exceptional internal customer service.

What We're Looking For

• 0–2 years of experience in data engineering, cloud development, or a related technical field.
• Foundational knowledge of Python and SQL.
• Familiarity with AWS services, including S3, IAM, EC2, and RDS.
• Exposure to Databricks, Apache Spark, or similar distributed data processing technologies preferred.
• Basic understanding of Delta Lake concepts, including tables, partitions, and ACID transactions.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
• Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
• Strong organizational skills, attention to detail, and a willingness to learn.
• A collaborative, self-motivated approach with the ability to work independently or as part of a team.
• Commitment to confidentiality, professionalism, and delivering quality results.

Education & Experience

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical field, or equivalent work experience required.
• Relevant professional or cloud technology certifications are a plus.

Work Schedule

Days: Monday–Friday Hours: 8:00 a.m.–5:00 p.m.

Occasional evening or weekend hours may be required based on business needs.

Start Your Career in Data Engineering with Tire Rack!

At Tire Rack, you'll have the opportunity to work with cutting-edge cloud technologies, strengthen your technical expertise, and contribute to data solutions that help drive our business forward.

Whether you're beginning your career in data engineering or looking to build on your existing technical foundation, this position offers an opportunity to learn, grow, and make an impact.