Senior Data Engineer

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Overview

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.

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)
• 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
• 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.

Qualifications

We are excited to share that the base salary range for this position is $104,530.40 - $139,381.84. This position is also eligible for an annual discretionary bonus, targeted at 3%. NFI takes into consideration applicants' qualifications, experience, education, and geographic location when determining a starting rate of pay.

Employees are also eligible for a robust benefit program, which includes Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Paid Time Off, and Paid Parental Leave, among other benefit plan options.

Equal Opportunity Employer

The contractor will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

LA County Applicants : The Company will consider qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local laws.

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