Engineer Intern

At Dover Fueling Solutions (DFS), we are taking fueling and convenience retail to the next level. We are passionate about cultivating excellence in everything we do, but what really fuels us is our people. They’re the heart of our company. As an employee, our promise to you is that you’ll work on new and innovative products and solutions, be mentored by managers and teammates who are collaborative, caring, and act with integrity, and have the opportunity to grow in ways that are meaningful to you. Unique and interesting projects - both locally and globally - will challenge you and allow you to pursue different and rewarding career paths.

We are #EnergizedByGrowth.

DFS is part of a legacy of leadership that spans back generations, made up of some of the most trusted, leading-edge brands in the industry. As part of Dover Corporation and with our talented, innovative, outstanding people, we are doing great things and redefining what is possible in fueling and convenience retail. Providing advanced fuel-dispensing equipment, including clean energy solutions, systems and payment, automatic tank gauging and wet stock-management solutions, DFS comprises the product brands of Wayne Fueling Systems, OPW Fuel Management Systems, ClearView, Tokheim, ProGauge, Fairbanks, LIQAL, AvaLAN, and Bulloch Technologies. Headquartered in Austin, TX, DFS has a significant technology development and manufacturing presence worldwide, including facilities in Brazil, China, India, Italy, Poland, the Netherlands, the United Kingdom and the United States.

Position Summary

We are seeking a skilled Data Engineer and expertise in the Microsoft Azure cloud ecosystem. In this role, you will design, build, and maintain robust data pipelines, data warehouses, and scalable storage solutions. You will collaborate closely with data scientists, analysts, and business stakeholders to transform raw data into actionable enterprise insights.

Key Responsibilities

• Data Architecture: Design and optimize cloud-based data structures, including data lakes, lakehouses, and enterprise data warehouses.
• Pipeline Engineering: Build and maintain scalable ETL/ELT data pipelines for both batch and real-time streaming data.
• Big Data Processing: Cleanse, transform, and aggregate massive datasets using distributed computing frameworks.
• Collaboration & Integration: Work alongside DevOps and software teams to integrate data pipelines into broader application ecosystems.
• Governance & Security: Implement data security, access control, and privacy regulations using cloud identity management and encryption tools.
• Performance Tuning: Monitor, troubleshoot, and optimize data workflows to reduce cloud costs and improve query speeds.

Required Skills & Experience

• Cloud Expertise: Possess a strong conceptual understanding of cloud infrastructure, specifically how to build and maintain data solutions on Microsoft Azure.
• Programming & SQL: Advanced proficiency in writing optimized SQL and developing applications using Python (including PySpark or Scala frameworks).
• Data Modeling: Solid, fundamental understanding of dimensional modeling, star/snowflake schemas, and modern Data Lakehouse architectural concepts.
• DevOps Practice: Proven experience with Git version control systems and deploying infrastructure or code via automated CI/CD pipelines.

Preferred Qualifications

• Streaming Tools: Familiarity with Azure Event Hubs, IoT Hubs, or Kafka.
• Analytical databases: Experience with Click house or similar analytical systems.

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.

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