Data Engineer

At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency. By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy.  We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.

**Role Overview:
**

As a Data Engineer IV, you will serve as a senior technical contributor responsible for designing, developing, and optimizing scalable cloud-based data solutions that enable enterprise analytics, reporting, and business intelligence. You will lead the delivery of complex data integration initiatives, establish engineering best practices, and provide technical guidance to other engineers. This role requires a strong understanding of modern data engineering practices and a conceptual understanding of data architecture principles to design scalable, maintainable, and governed data solutions while partnering with business and technology teams to solve complex business problems.

Key Responsibilities

• Design, develop, and optimize scalable cloud-based data pipelines that support enterprise analytics, reporting, and business intelligence.
• Lead the development of complex data integration solutions using AWS-native technologies and modern data engineering practices.
• Design scalable data models, ingestion frameworks, and transformation processes that support reliable, high-quality analytics.
• Apply data architecture principles when designing scalable, secure, and maintainable data pipelines, data models, and integration solutions.
• Establish and promote engineering standards, reusable frameworks, and best practices that improve platform reliability, scalability, and maintainability.
• Partner with business stakeholders to translate reporting and analytics requirements into technical solutions.
• Drive continuous improvement through automation, infrastructure as code, CI/CD, and DevOps best practices.
• Lead troubleshooting and resolution of complex data platform, integration, and performance issues.
• Mentor and provide technical guidance to other data engineers through code reviews, knowledge sharing, and best practice adoption.
• Evaluate emerging technologies and recommend improvements that enhance platform performance, scalability, security, and operational efficiency.
• Support data governance initiatives by promoting data quality, metadata management, and engineering standards across the data platform.