[Hiring] Data Warehouse Engineer @tires-easy.com

Role Description

We are seeking a skilled and detail-oriented Data Warehouse Engineer to join our Business Intelligence team and play a key role in designing, building, and optimizing our data infrastructure. In this role, you will:

• Develop and maintain scalable data pipelines.
• Ensure the accuracy and performance of our warehouse systems.
• Collaborate closely with analysts, engineers, and stakeholders to support data-driven decision-making across the organization.
• Drive data quality, reliability, and efficiency.
• Foster a culture of technical excellence and continuous improvement.

As a member of our team, you will work in an entrepreneurial environment where we are constantly looking to learn what our customers need and to develop better ways to serve them.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field (Master’s preferred).
• 3+ years of experience designing, developing, and maintaining data warehouses and ETL/ELT workflows in production environments.
• Proficiency in SQL and strong experience with data modeling, schema design, and performance optimization.
• Proven hands-on experience with modern data engineering tools (e.g. Airflow, dbt) and AWS cloud-based data platforms (e.g., Snowflake, Redshift).
• Hands-on experience (on business projects) with programming languages such as: Python, C/C++/Java.
• Strong analytical and problem-solving skills, with the ability to work collaboratively across cross-functional teams in a fast-paced, data-driven environment.
• Must not have had any disciplinary actions regarding attendance, conduct and/or performance in the past 90 days, and must not be approaching such action.

Requirements

• Design, build, and maintain scalable, high-performance data warehouse solutions using modern cloud and on-premise technologies.
• Develop, schedule, and monitor robust ETL/ELT pipelines using tools such as Apache Airflow for orchestration and dbt for data transformation.
• Optimize data models, queries, and storage strategies to improve performance, scalability, and system reliability.
• Implement and enforce data quality, validation, and governance standards to ensure accuracy, consistency, and compliance.
• Collaborate with data analysts, engineers, and business stakeholders to translate analytical requirements into efficient data solutions.
• Continuously enhance and automate data workflows by leveraging Airflow, dbt and other modern frameworks to drive efficiency and continuous improvement.
• AWS Linux controls for DW setup.

Benefits

• Experience using: Excel, Google Sheets, Slack.
• AirFlow, dbt, Linux, PostGre.
• AWS cloud practitioner or engineer certificates are a plus.
• High speed Wi-Fi connection.
• Be able to work in US timezone shifts (e.g., EST, CST, MST, or PST).