Data Engineer

Position: Data Warehouse Engineer

Overview:

Join a dynamic and fast-scaling SaaS organization that has been a leader in fleet technology for over two decades. This company delivers a unified data platform that transforms how safety and operations teams in industries like construction, utilities, and logistics manage and interpret their data. By consolidating fragmented systems into a single, intelligent solution, they empower clients to enhance safety, streamline operations, and make smarter business decisions.

Role Summary:

We are seeking a skilled Data Warehouse Engineer to become a key contributor to our software engineering team. Your mission will be to support the development and optimization of a high-capacity data warehouse that fuels analytics and decision-making across the organization. You’ll work with modern data technologies to help our customers unlock actionable insights from complex datasets.

Key Responsibilities:

• Architect, implement, and maintain a large-scale data warehouse supporting multiple departments and regions.
• Collaborate on project scoping, timelines, and progress updates.
• Troubleshoot and resolve data-related issues and support requests.
• Oversee data integrity and implement quality assurance processes.
• Build and manage ELT/ETL workflows and data transformation routines.
• Develop stored procedures, functions, and custom reports.
• Stay informed on emerging trends in data engineering and analytics.

Qualifications:

• Minimum 2 years of experience with Snowflake or a comparable data warehousing platform.
• Bachelor’s degree in Computer Science or a related discipline.
• At least 4 years of hands-on experience with SQL and procedural programming.
• Strong grasp of data modeling, warehousing principles, and analytics.
• Proficiency in creating reports and dashboards using tools like SSRS or similar.
• Detail-oriented with strong problem-solving skills.

Preferred Experience:

• Familiarity with data replication strategies.
• Experience building ETL processes using stored procedures.
• Exposure to JavaScript development.
• Background in machine learning or predictive analytics is a plus.

Core Values:

• Customer-Centric Mindset: Prioritize user experience and build lasting trust.
• Adaptability: Embrace innovation and lead through change.
• Visionary Thinking: Aim for growth—both personal and organizational.
• Integrity: Treat others with respect and act with honesty.
• Drive: Approach work with urgency and a passion for excellence.
• Transparency: Communicate openly and support a culture of trust.