Senior Data Engineer

Overview

D’Addario & Company is the world’s largest manufacturer and distributor of musical instrument accessories. As a U.S.-based manufacturing leader, we pride ourselves on high-automation machinery, cutting-edge technology, and a deep commitment to environmentally sustainable practices.  Most importantly, we’re proud of our diverse team of individuals who embody our core values—family, curiosity, passion, candor, and responsibility—and bring them to life every day.

D’Addario is seeking a Senior Data Engineer to help architect, build, and optimize the next generation of our global data infrastructure. In this role, you’ll design and maintain production-grade data pipelines, support AI and machine learning initiatives, and serve as a technical mentor within a growing Business Intelligence team. You’ll work closely with the Global Director of BI to deliver scalable solutions that power insights and innovation across the organization. This position is ideal for someone who thrives on solving complex data challenges, enjoys bringing structure to large datasets, and is passionate about enabling smarter decision-making through data.

This is a hybrid role and will require the candidate to work on-site in the Farmingdale office three days a week.

At D’Addario, we don’t just offer a job—we offer a career with one of the most iconic names in the music industry. We’re passionate about innovation, craftsmanship, and creating a workplace where diverse backgrounds, perspectives, and ideas thrive.  We’re eager to connect with individuals who bring fresh thinking and a collaborative spirit. If you’re ready to make an impact, we’d love to hear how you’ll add value to our team.

Some Perks & Benefits of Working at D'Addario:

• 401(k) Retirement Plan: Once eligible, D’Addario provides an employer Safe Harbor contribution of 3% of total annual earnings, with the opportunity to earn up to an additional 7% in employer Discretionary contributions, regardless of employee contribution level
• Health, vision, and dental insurance
• 12 weeks of fully paid parental leave
• Fertility and family-building benefits
• Annual performance and compensation reviews
• Career pathing and professional development via LinkedIn Learning
• A generous allotment of Paid Time Off (PTO) days
• Flexible sick day policy
• 12 paid holidays
• Life and AD&D insurance
• Enhanced short-term disability insurance
• Employee Assistance Program (EAP)
• Tuition reimbursement
• Discounts on D’Addario products and merchandise
• Company jam nights, artist performances, holiday parties, and special events
• A passionate, talented team that loves what they do!

Compensation: 

We offer a competitive total compensation package. The base salary range for this role is $140,000-$165,000 and is commensurate with experience, skills, and qualifications. This position is eligible for a discretionary annual bonus, in accordance with company policy.

Responsibilities

• Build & Optimize Pipelines: Design, implement, and maintain robust, high-performance data pipelines to support analytical models within Microsoft Fabric and our data environment. 

• Data Integration: Connect and harmonize new data sources, including ERP, e-commerce platforms, and external APIs. 

• Mentorship & Standards: Guide junior BI team members, lead code reviews, and establish coding, documentation, and testing best practices. 

• AI/ML Enablement: Partner on machine learning and AI projects from proof-of-concept through deployment, supporting predictive and prescriptive analytics into production workflows. 

• Advanced Analytics Development: Team up with analysts to prepare data products and predictive models using Python, PySpark, and modern ML frameworks. 

• Collaboration: Work with stakeholders across Sales, Marketing, Operations, and Product to translate business requirements and align priorities. 

• Technical Leadership: Drive data engineering excellence through continuous improvement, quality assurance, and innovation in data architecture and governance. 

Qualifications

• 5+ years of experience building and maintaining production-grade data pipelines.
• Advanced programming skills in Python, PySpark, and SQL.
• Strong background in data modeling and scalable analytics.
• Experience deploying machine learning models and data products in production environments.
• Solid understanding of cloud data platforms (Azure preferred).
• Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
• Clear communicator with the ability to simplify complex technical concepts.
• Proven leadership in mentoring and developing technical talent.
• Highly organized, self-directed, and comfortable in fast-paced environments.
• Passion for using data to drive innovation and business impact.

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