Data Engineer

CORE ALLIANCE GROUP INC.

New York, NY, United States

26 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Application Programming Interfaces (APIs) User Authentication Microsoft Azure Information Systems Continuous Integration Data as a Services Information Engineering Data Governance Extract Transform Load (ETL) Data Security Relational Databases Database Queries

+12 more

Python (Programming Language) PostgreSQL Operational Databases Systems Development Life Cycle Cloud Services Data Streaming Systems Integration Microsoft Fabric Github Enterprise Restful APIs 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.