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Data engineer Jobs in Glendale, AZ
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Data engineer • glendale az
- Promoted
Data Engineer
CoforgePhoenix, AZ, US- Promoted
AZURE DATA ENGINEER
Cynet SystemsPhoenix, AZ, United StatesPrincipal Data Engineer
HoneywellPhoenix, AZ, United States- Promoted
DATA ENGINEER (CONTRACTOR)
Glint Tech Solutions LLCPhoenix, AZ, United States- Promoted
DATA ENGINEER
HonorVet TechnologiesPhoenix, AZ, United States- Promoted
PRINCIPAL DATA ENGINEER
Western Alliance BancorporationPhoenix, AZ, United StatesSenior Data Engineer
Motion RecruitmentPhoenix, Arizona, United StatesData Engineer
OneAZ Credit UnionPhoenix, AZ, United StatesPrinciple Data Engineer
EXL ServicePhoenix, AZ, United States- Promoted
AZURE DATA ENGINEER
Signature IT World IncPhoenix, AZ, United States- Promoted
AZURE DATA ENGINEER
InfosysPhoenix, AZ, United States- New!
Data Engineer I
USAAPhoenix, AZ, United States- Promoted
GCP DATA ENGINEER
Futran Tech Solutions Pvt. Ltd.Phoenix, AZ, United StatesSenior Data Engineer / Data Curator
TSMCPhoenix, AZ, United States- Promoted
DATA ENGINEER (#9BCTLJP00002772)
Smart Synergies, Inc.Glendale, AZ, United States- Promoted
DATA ENGINEER
AkkodisPhoenix, AZ, United States- Promoted
Data Engineer
VirtualVocationsPhoenix, Arizona, United States- Promoted
AZURE DATA ENGINEER
TechDigital GroupPhoenix, AZ, United StatesThe average salary range is between $ 97,680 and $ 178,440 year , with the average salary hovering around $ 119,800 year .
- senior database administrator (from $ 72,250 to $ 305,410 year)
- chief estimator (from $ 178,750 to $ 300,000 year)
- nurse practitioner (from $ 121,530 to $ 226,000 year)
- lease operator (from $ 15,548 to $ 225,000 year)
- engineering director (from $ 103,750 to $ 225,000 year)
- technical product manager (from $ 145,408 to $ 211,488 year)
- technical program manager (from $ 126,837 to $ 211,488 year)
- platform engineer (from $ 136,500 to $ 200,000 year)
- software engineering manager (from $ 152,625 to $ 200,000 year)
- risk management (from $ 77,500 to $ 197,500 year)
- Macon, GA (from $ 84,825 to $ 244,450 year)
- Rockford, IL (from $ 173,350 to $ 215,130 year)
- Fayetteville, NC (from $ 174,100 to $ 212,500 year)
- Alexandria, VA (from $ 119,550 to $ 212,500 year)
- Beaumont, TX (from $ 151,878 to $ 211,761 year)
- Worcester, MA (from $ 88,400 to $ 211,350 year)
- Kent, WA (from $ 117,000 to $ 211,350 year)
- Joliet, IL (from $ 173,350 to $ 211,350 year)
- Concord, CA (from $ 122,500 to $ 211,350 year)
- Waco, TX (from $ 173,350 to $ 211,350 year)
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
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Data Engineer
CoforgePhoenix, AZ, US- Full-time
We are looking for a Acumatica Data Engineer for our Scottsdale, Arizona facility for more details please find the below JD.
Position : Acumatica Data Engineer,
Location : Scottsdale, Arizona- Day 1 on-site
Must Have Skills- Acumatica and API Integration
Job Summary :
We are seeking a skilled and detail-oriented Data Engineer with experience in Acumatica ERP to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines, models, and integrations related to Acumatica, ensuring high data quality, accessibility, and performance across platforms.
Key Responsibilities :
Design, develop, and manage scalable data models based on Acumatica's data schema to support reporting, analytics, and business operations.
Build and maintain ETL / ELT pipelines to extract, transform, and load data from Acumatica into data warehouses or analytics platforms.
Leverage Acumatica's REST and OData APIs to integrate with external systems and enable automated data flows.
Create and optimize Generic Inquiries, dashboards, and reports in Acumatica for internal business users.
Understand and document Acumatica's relational data structures across modules (e.g., finance, inventory, sales) to support accurate data modeling and reporting.
Collaborate with business analysts, finance, and operations teams to understand data requirements and build semantic models for BI tools.
Ensure data integrity, governance, and compliance with data privacy and security standards.
Monitor and troubleshoot data pipelines and integration performance issues