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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer I - **Company:** NFI Industries - **Location:** Camden, NJ, United States - **Experience:** Starter - **Salary:** $88,067.0 - $117,423.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Computer Programming, Information Engineering, Data Integrity, Database Queries, Software Debugging, Software Design Patterns, Programming Tools, Python (Programming Language), Operational Data Store, Standard Sql, SQL Databases, Enterprise Data Management, Data Processing, GitHub Copilot, Microsoft Fabric, Pyspark, Information Technology, Data Analytics, Azure Synapse Analytics - **Published:** July 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c560886c61545134 ## About the Role Education & Experience: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical discipline (or equivalent practical experience/intensive bootcamp completion). * SQL Proficiency: Strong working knowledge of SQL for querying, data manipulation, and analyzing complex datasets. * Programming Skills: Solid foundational knowledge of Python, with experience writing basic PySpark scripts for data manipulation. * Cloud Exposure: Hands-on experience or academic/project exposure to Azure Cloud Services, specifically Azure Synapse Analytics and Azure Pipeline orchestrations. * Problem-Solving Mindset: Excellent analytical and troubleshooting skills with a natural curiosity for diagnosing, debugging, and fixing data discrepancies. ## Description Are you passionate about launching your career in data engineering, transforming raw data into reliable pipelines, and learning from seasoned cloud professionals? Do you want to build hands-on expertise in enterprise cloud environments and play an active role in a strategic modernization toward Microsoft Fabric? Join our innovative Data & Analytics team as an Associate Data Engineer, where you will help maintain, optimize, and scale our cloud data infrastructure on-site at our Camden, NJ headquarters., You will work closely with senior engineers to ensure our enterprise data platforms are robust, reliable, and operating efficiently. This is a premier opportunity to gain deep, hands-on experience with enterprise-level cloud data tools (such as Azure Synapse and Azure Pipeline) and play a vital role in our upcoming platform modernization., Pipeline Maintenance & Optimization: Assist in managing, monitoring, and optimizing existing ETL/ELT data pipelines built on Azure Pipeline and Azure Synapse to ensure consistent, accurate, and timely data delivery. * Data Reliability & Support: Monitor active data workflows, identify data quality or performance anomalies, and work proactively to troubleshoot, debug, and resolve execution failures. * Modernization Assistance: Support the refactoring of legacy SQL structures into modern PySpark notebook architectures as the platform prepares for its Microsoft Fabric transition. * Technical Documentation: Author and maintain clear, up-to-date technical documentation covering pipeline architectures, data schemas, operations guides, and cataloging. * Cross-Functional Collaboration: Partner with senior engineers, database administrators, and business stakeholders to translate technical requirements into stable, operational data flows. * Continuous Learning: Actively develop personal technical skills under mentorship, focusing on mastering NFI's data assets, frameworks, and modern lakehouse design patterns. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)