Senior Data Engineer

NFI Industries • Camden, NJ

71d • $104,530 - $139,381

About The Position

At NFI, we offer innovative, integrated, and customized solutions that span the entire supply chain. Whatever our customer's challenge is, we have the knowledge, technology, scale, and commitment to help them solve it. It's simply what we do. Are you passionate about transforming data into insights and enabling intelligent decision-making at scale? Do you thrive in modern cloud environments and want to help shape the future of data architecture for AI and machine learning? Join our innovative Data & Analytics team as a Senior Data Engineer, where you'll play a key role in designing and implementing enterprise-grade data solutions in our Azure ecosystem. You'll build robust, scalable data pipelines and dimensional models in our Synapse Enterprise Data Warehouse (EDW), while also helping lay the foundation for AI/ML integration using Azure's cutting-edge AI services. This is your opportunity to make an impact at the intersection of data engineering and applied intelligence - solving complex challenges today while architecting for the future.

Requirements

• BA/BS degree strongly preferred, will consider comparable work experience.
• 6-8 years of relevant experience is preferred.
• Understands and makes well-reasoned decisions and tradeoffs within their area of expertise.
• Demonstrates knowledge of industry trends and regularly seeks external expertise to accelerate their learning.
• Clarifies success metrics and ties efforts toward delivering business value.
• Emerging understanding of broader organizational context and goals.
• An understanding of impact and success metrics helps to focus their efforts, as well as those of their function.

Responsibilities

• 5+ years of experience in data engineering or related fields, with a strong focus on Azure Data Services, including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage (Gen2), and Azure Databricks.
• Experience working alongside Data Scientists to support end-to-end machine learning workflows in Azure Machine Learning, including feature store integration, experiment tracking and model versioning, and model deployment pipelines.
• Deep experience in building dimensional and star-schema models for analytical workloads.
• Proficient in T-SQL and performance tuning of large-scale data queries.
• Proven track record of building and managing robust ETL/ELT pipelines in production environments.
• Understanding of real-time and batch data ingestion methods and tools.
• Familiarity with data architecture frameworks, including lakehouse, data mesh, and data vault modeling (optional but preferred).
• Knowledge of Python, PySpark, or other scripting languages used in data science pipelines is a plus.
• Experience with Azure Cognitive Services or integrating external ML APIs is a strong advantage.
• Strong foundation in Git-based workflows, DevOps, and CI/CD for data and ML pipelines.

Benefits

• Medical, Dental, Vision, Prescription Drug Coverage
• 401k Plan
• Wellness Program
• Life Insurance
• Paid Time Off
• Paid Parental Leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Support Activities for Transportation
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees