Sr. Data Engineer

World Emblem Internatio
Norcross, GA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$150,000.0
Working hours
Regular working hours
Job source

Tech stack

Query Performance Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Microsoft Azure Information Systems Databases Continuous Integration Information Engineering Data Infrastructure Data Integration Extract Transform Load (ETL)
+31 more
Data Warehousing Database Connection Dimensional Modeling Microsoft Dynamics NAV Middleware Machine Learning Microsoft SQL Server SQL Azure Open Data Protocol Operational Databases Role-Based Access Control Power BI BigCommerce SQL Stored Procedures SQL Server Reporting Services SQL Server Integration Services Transact-SQL Web Services Azure Data Factory Retrieval-Augmented Generation Delivery Pipeline Indexer Git Microsoft Fabric Data Lakes Information Technology Microsoft Business Central Hubspot Optimizely Software Version Control Data Pipelines

Job description

We are seeking a hands-on Senior Data Engineer to build, scale, and own World Emblem’s new centralized data platform on Microsoft Fabric. Working within the Applications team and in close partnership with the Director of AI, you will be a key technical voice in the architecture and planning of the Data Lake / Data Warehouse project. You will design and build ETL/ELT pipelines from Business Central, custom middleware, ecommerce, and marketing systems, ensuring a solid foundation for AI initiatives and enterprise reporting.

This is a hands-on build role. You will write T-SQL, design tables, views, stored procedures, and construct Fabric pipelines while taking full ownership of running and extending the platform in-house., * Data Platform Architecture & Build: Participate in architecture planning for the Microsoft Fabric platform (OneLake, Lakehouse/Warehouse, layered data zones, capacity structure, naming, and modeling standards). Partner with an external implementation partner during initial rollout and transition into full in-house ownership.

  • ETL / ELT Development & Integration: Design and maintain pipelines using Microsoft Fabric Data Factory (pipelines & Dataflows Gen2), Azure Data Factory, or SSIS. Extract data from Business Central, custom middleware, BigCommerce, HubSpot, and internal databases. Build incremental/CDC loads, error handling, retries, and idempotent processing.
  • Database Engineering: Build high-standard tables, views, functions, stored procedures, and indexes across SQL Server, Azure SQL, and Fabric Warehouse. Design dimensional models (star schemas, fact/dimension tables, SCDs) and manage query performance, partitioning, and capacity planning.
  • Data Quality & Operations: Implement automated quality checks for completeness, accuracy, and freshness. Reconcile key business metrics (orders, revenue, inventory) between source systems and the data warehouse. Monitor pipeline health, handle alerting, and resolve root-cause data issues.
  • Reporting & AI Enablement: Work with the Reporting Engineer to transition existing Power BI and SSRS reports to query the new platform instead of production databases. Deliver structured, documented datasets to the AI department for RAG systems, agents, and predictive analytics.
  • Governance, Security & CI/CD: Implement RBAC, row/column-level security, and data protection standards. Maintain data dictionaries and lineage documentation. Manage code, database objects, and deployment pipelines via Git and Azure DevOps.

Requirements

  • 7+ years of professional experience in data engineering and SQL Server database development, including production pipeline ownership.
  • Hands-on experience with Microsoft Fabric (OneLake, Lakehouse/Warehouse, Data Factory pipelines, or Dataflows Gen2) is mandatory.
  • Expert T-SQL skills: Advanced database design, views, stored procedures, indexing, and query performance tuning.
  • Strong experience with SQL Server and Azure SQL (Azure SQL Database or Managed Instance).
  • Proven track record building ETL/ELT pipelines with Microsoft tooling (Fabric Data Factory, ADF, or SSIS) including incremental/CDC load strategies.
  • Strong expertise in Data Warehousing & Dimensional Modeling (star schemas, facts/dimensions, SCDs).
  • Experience integrating data from enterprise ERPs via APIs, OData, web services, or database connections.
  • Hands-on experience with Git and Azure DevOps for version control and CI/CD workflows.
  • Excellent technical communication skills with the ability to explain complex data topics to business stakeholders.
  • Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience., * Experience with Microsoft Dynamics 365 Business Central (or Dynamics NAV) data models and APIs.
  • Familiarity with HubSpot, BigCommerce, Optimizely, or manufacturing/production data environments.
  • Experience building Power BI semantic models (DAX) and migrating SSRS reports.
  • Relevant Microsoft Certifications: DP-700 (Fabric Data Engineer), DP-600 (Fabric Analytics Engineer), or DP-300.
  • Experience preparing enterprise data pipelines for AI / Machine Learning / RAG use cases.

Benefits & conditions

Monday - Friday 8AM-5PM EST

About the company

World Emblem International is a global manufacturer of patches, emblems, and decorated products. The business operates on Microsoft Dynamics 365 Business Central as its ERP, supported by custom middleware, ecommerce platforms, CRM/marketing systems, and production applications. As we invest in AI and modern analytics, we are building a centralized Data Lake / Data Warehouse on Microsoft Fabric to provide trusted, well-modeled data across the business.

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