Senior Data Integration & Analytics Engineer at Quantic Electronics LLC
United States, North Carolina, USA -
Full Time


Start Date

Immediate

Expiry Date

22 Jul, 25

Salary

0.0

Posted On

23 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

WHAT WE’RE LOOKING FOR

  • 5+ years experience in data engineering, BI development, or systems integration, ideally with exposure to ERP systems and financial data structures.
  • Strong hands-on experience with:
  • Power Platform (Dataverse, Power Automate, Power BI)
  • REST APIs, JSON, and custom connectors
  • SQL and data modeling
  • Familiarity with ERP systems (e.g., Acumatica, NetSuite, GlobalShop, Sage etc.).
  • Ability to interpret and validate data against financial reports like trial balance, P&L, or margin reports.
  • Comfortable working with business stakeholders to gather requirements and build actionable analytics solutions.
  • Bonus: experience with Azure Data Factory, Synapse, Python, or other integration/ETL tools.
Responsibilities

ABOUT THE ROLE

We’re looking for a hands-on, strategic data engineer to help build and maintain scalable data integrations between multiple ERP systems and Microsoft Dataverse to PowerBI, powering advanced analytics and operational reporting across the business. You’ll play a critical role in designing repeatable pipelines and systems that deliver clean, timely, and reconcilable data — from raw transactions to SKU level revenue, margin, other operational KPIs.

WHAT YOU’LL DO

  • Design and develop automated data integrations between multiple ERP systems (e.g., Acumatica, NetSuite, GlobalShop, etc.) and Microsoft Dataverse using Power Automate, APIs, and custom connectors.
  • Create scalable, repeatable pipelines that prioritize speed, data integrity, and performance.
  • Optimize and maintain Power BI datasets and reports, ensuring they reconcile back to source systems and the financial trial balance.
  • Collaborate closely with finance, pricing, and operational teams to build analytics tools and dashboards that help drive decisions around pricing, margin, and profitability.
  • Define and document data models, integration standards, and best practices for future extensibility.
  • Monitor data quality and proactively resolve issues related to latency, mismatches, or pipeline failures.
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