Pilot Thomas Logistics

Data Engineer - Dallas/Fort Worth, TX

Grapevine, TX

full_time

About This Job

Job Requirements Minimum Requirements:

•

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

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5+ years of experience in data engineering or data architecture roles with demonstrated leadership capacity.

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Expertise in SQL, Python, ETL development, and orchestration (e.g., Airflow).

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Proficient in Microsoft SQL Server and at least one major cloud platform (AWS, Azure, GCP, etc.).

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Hands-on experience with data visualization and reporting tools, especially Power BI.

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Strong understanding of data lifecycle management and database performance tuning.

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Ability to lead initiatives and work cross-functionally in a fast-paced, evolving environment.

Preferred Experience

•

Background in fuel, logistics, or commodity industries is a strong plus.

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Familiarity with AI technologies in the context of data automation and integration.

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Experience with process mining tools.

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Exposure to Docker, Kubernetes, and DevOps environments.

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Certifications in cloud platforms or data engineering preferred.

Job Description

We are seeking a skilled and experienced Data Engineer to lead the development and management of our enterprise data infrastructure and reporting capabilities. As part of a small but growing technology team, this role offers a unique opportunity to take ownership of key projects and strategic initiatives, with direct impact across the organization.

This role will play a critical part in our broader technology vision, which includes integrations, automation, and leveraging AI technologies to enhance data-driven decision-making and operational efficiency. The ideal candidate combines technical expertise with strong collaboration and leadership skills.

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Hybrid/Remote position.

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Essential Responsibilities:

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Analyze and document existing data architecture across on-prem and cloud-based environments (Microsoft SQL Server, AWS, Azure, GCP).

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Design and develop enterprise-grade datasets to support self-service reporting and advanced analytics.

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Build and maintain scalable ETL pipelines using Python and orchestration tools like Airflow.

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Develop dashboards and reporting solutions in Power BI for business and operational use cases.

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Collaborate with Software Development teams to integrate new applications and enhance existing systems through data connectivity.

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Work closely with the Program Manager and business stakeholders to ensure accurate, consistent data for reporting and business logic alignment.

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Manage and optimize databases for performance, scalability, and reliability—including archiving, tuning, and backup strategies.

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Mentor and manage a junior DBA, setting best practices and providing oversight on database operations.

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Participate in planning and executing AI-driven automation and integrations, aligning with future-state architecture and business process transformation.

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Establish and enforce data governance, security, and quality assurance practices.

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