Motion Recruitment | Jobspring | Workbridge

Senior Data Engineer

Dallas, Texas

Hybrid

Full Time

$120k - $140k

Job Description

A popular manufacturing company in Dallas is looking for a Senior Data Engineer. This company specializes in producing high-quality, precision-engineered products that are integral to various sectors, including automotive, aerospace, and consumer electronics. Their state-of-the-art facilities are equipped with cutting-edge technology, and their commitment to sustainability and continuous improvement ensures that they remain at the forefront of the manufacturing landscape. As they continue to grow and expand their operations globally, they are dedicated to maintaining the highest standards of quality and customer satisfaction.

They are seeking a highly skilled and experienced Senior Data Engineer to join their advanced analytics team. In this pivotal role, you will be responsible for designing, building, and maintaining their data infrastructure and pipelines. You will work closely with cross-functional teams, including data scientists, analysts, and IT, to ensure the seamless integration and processing of large datasets. Your expertise in data architecture, ETL processes, and cloud-based solutions will be crucial in optimizing their data workflows and enabling robust data-driven decision-making across the organization. The ideal candidate will have a strong background in programming, database management, and data warehousing, along with a passion for leveraging data to drive business insights and innovation.

Required Skills & Experience
  • 5+ years of experience with Azure Data Factory/MS Cloud Data Engineering
  • Experience with ETL Data pipelining/processes
  • Experience building out pipelines from scratch
  • Experience with Fabric
  • Experience with Azure Databricks
  • Experience reporting in PowerBI - SSIS
Desired Skills & Experience
  • Experience with Data lakes – data warehouses
  • Experience with SQL Server
  • Experience programming with Python, R, Scala
Tech Breakdown
  • 80% Data Engineering
  • 20% Data Visualization
Daily Responsibilities
  • 100% collaborating with the team
  • 100% cross-collaboration with other teams in the IT department
  • 30% stakeholder engagement
Benefits
  • 401(K)
  • Lots of room for growth
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Hybrid schedule (2x a week)
  • 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