Data Engineer

CORE ALLIANCE GROUP INC.
Hope, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Hope, United States of America

Tech stack

API
User Authentication
Azure
Information Systems
Continuous Integration
Data as a Services
Information Engineering
Data Governance
ETL
Data Security
Relational Databases
Database Queries
Python
PostgreSQL
Operational Databases
Systems Development Life Cycle
Cloud Services
Data Streaming
Systems Integration
Microsoft Fabric
Github Enterprise
REST
Webhooks
Data Pipelines

Requirements

  • 8+ years of experience designing, building, and operating production data pipelines and integrations.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field; directly relevant experience, certifications, or training demonstrating comparable expertise in data pipelines, integrations, cloud data platforms, APIs, data governance, and secure data workflows may be considered in lieu of a degree.
  • Strong SQL skills and experience with PostgreSQL or similar relational databases.
  • Proficiency in Python for data engineering, automation, and workflow development.
  • Hands-on experience with Microsoft Azure data services and Microsoft Fabric, or equivalent cloud data platforms.
  • Experience with ETL/ELT pipelines, data modeling, curated datasets, orchestration, and production data workflows.
  • Strong experience with APIs and integration patterns, including REST, webhooks, authentication, error handling, retry strategies, and cross-system data movement.
  • Familiarity with SDLC and CI/CD for data workflows using GitHub Enterprise, Azure DevOps, or similar tools.
  • Strong understanding of security, data governance, access controls, and secure handling of sensitive business information.
  • Ability to communicate clearly with technical and non-technical stakeholders in an AEC or similar business environment.
  • Operational discipline with the ability to maintain, monitor, troubleshoot, and improve mission-critical data flows over time.

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