Motion Recruitment | Jobspring | Workbridge

Senior Data Azure Engineer

Dallas, Texas

Hybrid

Full Time

$130k - $150k

Job Description

A leading manufacturing company here in Dallas, TX is looking for a Azure Data Engineer. For their Farmers Branch, TX office. For decades, this organization has been a driving force in producing high-performance industrial products that serve a wide range of industries. With a state-of-the-art facility and a culture rooted in collaboration, the company prioritizes employee growth, operational excellence, and delivering exceptional value to its clients. As a trusted name in the industry, they continually invest in cutting-edge technologies and processes to remain at the forefront of the manufacturing landscape.

This individual will play a pivotal role in designing, building, and maintaining robust data solutions to support the organization’s growing data and analytics needs. The ideal candidate will have a strong background in Azure cloud services, data warehousing, and ETL development. Key responsibilities include managing data pipelines, ensuring data accuracy and integrity, and collaborating with cross-functional teams to deliver insights that drive business decisions. This role offers an exciting opportunity to shape the company’s data infrastructure and contribute to impactful business outcomes.

Required Skills & Experience
  • 5+ years of experience in Data Engineer in the Microsoft Stack
  • Experience within Azure Cloud – Azure Synapse
  • Experience with SQL Server
  • Experience with ETL pipelining/processing
  • Experience with Azure Data Factory
Desired Skills & Experience
  • Experience NoSQL, PostgreSQL, CosmosDB
  • Experience with ADLS
  • Azure DevOps experience is preferred
  • Experience with Fabric
  • Programming with Python, C#, PowerShell is a plus
  • Experience reporting within Tableau or PowerBI is a plus
  • Exposure to MDM
Tech Breakdown
  • 100% Azure – Microsoft Stack
  • 50% ETL pipelining/processing
  • 25% Azure DevOps
  • 5% programming (Python/C#)
Daily Responsibilities
  • 100% Data Engineering
  • 100% collaboration with the team
  • 50% ETL Data maintenance
  • 30% Stakeholder engagement
Benefits
  • 401(K)
  • Lots of room for growth
  • Hybrid schedule (3x a week)
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • Professional development opportunities and continuous learning programs
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted by: Lily Hodge

Specialization: Data Engineering