Data Engineer (AI Engineering)

Metagenics•Jersey City, NJ

13h•$130,000 - $174,870•Hybrid

About The Position

The Data Engineer is responsible for building and scaling the data and AI foundations that power the business across North America. Based in the NAM region and reporting to the Global Data Engineering Manager, this role designs and operates modern data pipelines and AI-enabled solutions on Microsoft Azure and Microsoft Fabric, transforming data from ERP, commerce, marketing, and customer platforms into reliable, production-grade products. This is a hands-on, delivery-focused role at the intersection of data engineering and applied AI. The role partners closely with commercial, marketing, and technology stakeholders across the NAM region to accelerate growth, improve the customer experience and unlock new capabilities through data and AI.

Requirements

3–5 years in data engineering, with demonstrated delivery of production data and/or AI solutions.
Working knowledge of D365 F&O (FinOps) — data entities, finance, sales, and supply chain modules, and how ERP data is extracted and modeled for analytics and reporting.
Hands-on experience delivering with Fabric — Lakehouse and Warehouse, Data Factory pipelines, Spark notebooks, semantic models, Mirroring, and Shortcuts.
Practical experience designing, building, and deploying AI/ML solutions using Microsoft Foundry, Copilot Studio, large language models, embeddings, retrieval-augmented generation (RAG), and production workflow integrations.
Strong Python and SQL; comfortable with PySpark for large-scale data processing.
ETL/ELT design, data modeling (dimensional & lakehouse/medallion), and building batch and streaming pipelines.
Comfortable with Agile delivery, with strong problem-solving skills and the ability to work independently across time zones and global teams.

Nice To Haves

Awareness of capacity (CU / F-SKU) consumption and cost management is highly valued.

Responsibilities

Design, build, and maintain scalable, reliable data pipelines and lakehouse solutions on Microsoft Fabric, Synapse Analytics, and Azure.
Develop, integrate, and operationalize AI/ML and generative-AI solutions — from feature pipelines and model deployment to RAG, embeddings, and LLM-based applications — with a focus on production reliability.
Build well-structured, governed data models; implement data quality, validation, lineage, and observability across the platform.
Ingest and unify data from ERP (Dynamics 365 Finance & Operations), commerce, marketing automation, and CRM systems to create a trusted view of customers, products, and orders across the NAM region.
Apply CI/CD, infrastructure-as-code, orchestration, and MLOps practices to automate deployment, monitoring, and retraining.
Work with business and technical stakeholders across the NAM region, and with global data and technology teams, to translate commercial needs into data and AI solutions that drive measurable outcomes.
Optimize pipelines and workloads for performance, scalability, security, and cost efficiency in the cloud.
Ensure solutions meet data governance, privacy, and security standards across the NAM markets in which we operate.

Benefits

Medical, dental, vision
Annual employer HSA (Health Savings Account) funding for eligible employees who elect an HSA medical plan
STD, LTD, Basic Life AD&D coverage
401k + employer matching
Vacation and Sick Time
2 Volunteer Days off per year
Emergency evacuation time off
11 paid company holidays
1 Floating holiday to celebrate your birthday or important religious/holiday to you
Quarterly product allowance to use towards your favorite Metagenics products!
Product discount
Peer to peer recognition programs & more!