Data Analytics Engineer

Overview

D’Addario & Company is the largest manufacturer and distributor of musical instrument accessories in the world. As a US based manufacturing company, we pride ourselves on high automation machinery and innovative technology, as well as our commitment to environmentally sustainable practices. Through our work with the D'Addario Foundation we are committed to helping make music education accessible and ensuring hundreds of thousands of students can participate in music‑making programs worldwide, regardless of instrumentation, genre, or life circumstance.

Most importantly, we pride ourselves on our diverse team of individuals who commit to the embodiment of our core values of curiosity, passion, candor, family and responsibility and translate them into action every day.

The Business Intelligence team is looking for a hands‑on Data Analytics Engineer to help build, transform, and optimise D’Addario’s global data infrastructure. In this role, you’ll design and maintain production‑grade data pipelines while modeling the clean, well‑tested, and documented datasets that power reporting and self‑service analytics across the company. You’ll work closely with the Global Director of BI and our analysts to turn raw data into reliable, business‑ready data products.

This is an ideal opportunity for an engineer who thrives at bringing data into order, enjoys solving complex data challenges, and is passionate about enabling organizational data intelligence.

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 Linked In 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 $115,000-$130,000 and is commensurate with experience, skills, and qualifications. This position is eligible for a discretionary annual bonus, in accordance with company policy.

• Build & Optimize Pipelines: Design, implement, and maintain robust, high‑performance ELT/ETL data pipelines within Microsoft Fabric and our broader data environment.

• Data Integration: Connect and harmonize new data sources—including ERP, e‑commerce platforms, and external APIs—into a centralized data platform.

• Analytics Data Modeling: Transform raw data into clean, well‑structured dimensional models, data marts, and reusable datasets (star schemas) that are analysis‑ready for reporting and self‑service BI.

• Semantic Layer & Metrics: Build and maintain semantic models and standardized metric definitions in Power BI and Microsoft Fabric so the business works from a single, trusted source of truth.

• Data Quality & Testing: Implement automated testing, validation, and monitoring to ensure pipelines and datasets are accurate, reliable, and well‑documented.

• Collaboratio n: Partner with analysts and stakeholders across Sales, Marketing, Operations, and Product to translate business requirements into reliable data products.

• Continuous Improvement: Follow and help…