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D'Addario & Company

Senior Data Engineer

Company : D'Addario & Company

Location : Farmingdale, NY, 11735

Job Type : Full Time

Date Posted : 11 January 2026

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:

  • Competitive compensation package
  • Health, vision, and dental insurance
  • 12 weeks of fully paid parental leave
  • Fertility and family-building benefits
  • 401(k) retirement plan with generous employer contributions
  • Career pathing and professional development via LinkedIn Learning
  • Paid Time Off (PTO) and 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!

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.

The base salary range for this role would be commensurate with experience: $140k to $165k per year

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Frequently asked questions

At D'Addario & Company, the Senior Data Engineer collaborates closely with AI teams by building scalable data pipelines and deploying machine learning models into production. This hands-on involvement ensures predictive analytics are seamlessly integrated to drive smarter business decisions within their innovative manufacturing environment.

Mentorship involves sharing coding best practices, conducting thorough code reviews, and fostering a culture of documentation and testing. For a Data Engineer, guiding junior colleagues through complex data challenges accelerates team growth and ensures high-quality data infrastructure within dynamic business intelligence operations.

Proficiency in Python, PySpark, SQL, and cloud platforms like Azure is essential. Additionally, experience with data modeling, scalable analytics, and deploying machine learning models in production environments significantly boosts a candidate’s ability to manage complex data systems in the Farmingdale tech landscape.

Farmingdale's growing tech ecosystem coupled with nearby metro access drives steady demand for senior data engineering talent. Employers like D'Addario & Company benefit from a competitive market, often seeking candidates with deep cloud and AI expertise, which influences faster hiring cycles and attractive compensation packages.

Certifications related to Azure cloud services and advanced data engineering tools are highly regarded locally. Familiarity with Microsoft Fabric and experience with ERP or e-commerce data integration also enhance a candidate’s profile within Farmingdale's manufacturing and tech-driven job market.

This role features a hybrid work schedule requiring on-site presence three days per week. This approach balances collaboration within the Farmingdale office’s innovative environment with remote flexibility, fostering both team synergy and individual productivity.

D'Addario emphasizes cutting-edge automation, sustainable practices, and a culture rooted in family and curiosity, setting it apart. Senior Data Engineers here contribute not only to data infrastructure but also to a passionate community, enjoying unique perks like company jam nights and access to artist performances.

Salaries for this role range from $140,000 to $165,000 annually, reflecting experience and expertise. This competitive compensation aligns with the company’s commitment to attracting top-tier data engineering professionals in the vibrant New York tech and manufacturing scene.

Daily tasks often include designing high-performance data pipelines, integrating diverse data sources like ERP and e-commerce platforms, and collaborating with cross-functional teams to translate business needs into technical solutions, all while ensuring scalability and quality in a global environment.

Absolutely, employees have access to career development resources such as LinkedIn Learning, tuition reimbursement, and opportunities to lead technical mentorship. This fosters continuous skill enhancement, especially in emerging areas like AI and advanced analytics within a supportive company culture.

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