Cloud Data Engineer (Azure Fabric / Data Factory) – Dallas Onsite

TEKsystems; Dallas (TX); On-site; USD 130,000 - 145,000; Full time

Benefits offered by this job

Medical coverage

Dental & vision

401k plan

HSA & FSA

Tuition reimbursement

Adoption assistance

Employee assistance

Life and disability

Corporate discounts

Job summary

TEKsystems is seeking a Cloud Data Engineer in Dallas, onsite only, to help build and optimize enterprise data platforms using Microsoft Fabric or Azure Data Factory. The role focuses on data engineering, architecture, API integrations, and modern cloud technologies, with a strong emphasis on ETL/ELT pipelines and data governance.

You will develop API-based ingestion solutions in Python, design Lakehouse and Data Warehouse architectures, and partner with business stakeholders in a 50/50

Qualifications

• Experience with Microsoft Fabric or Azure Data Factory and cloud data engineering.
• Design and implement API-based data ingestion pipelines and integrations.
• Strong Python and SQL development skills with data governance awareness.
• Experience building scalable ETL/ELT pipelines in cloud environments.
• Ability to collaborate with stakeholders 50% technical, 50% business.

Responsibilities

• Build and support scalable ETL/ELT pipelines
• Develop API-based ingestion solutions using Python
• Work with Microsoft Fabric and/or Azure Data Factory
• Design and optimize Lakehouse and Data Warehouse architectures
• Ensure data quality, governance, and performance
• Partner with stakeholders to deliver enterprise data solutions

Skills

Python

SQL

ETL/ELT

Data Warehousing

REST APIs

GraphQL

CI/CD

Git

OneLake

Microsoft Fabric

Azure Data Factory

Azure cloud

Tools

Microsoft Fabric

Azure Data Factory

Azure

PySpark

REST APIs

GraphQL

Git

CI/CD

Job description

TEKsystems is seeking a Cloud Data Engineer in Dallas, onsite only, to help build and optimize enterprise data platforms using Microsoft Fabric or Azure Data Factory. The role focuses on data engineering, architecture, API integrations, and modern cloud technologies, with a strong emphasis on ETL/ELT pipelines and data governance.

You will develop API-based ingestion solutions in Python, design Lakehouse and Data Warehouse architectures, and partner with business stakeholders in a 50/50