Senior Data Engineer

Retail Industry

  • Dallas, Texas
  • 30+ days ago

    Highlights

    We offer a comprehensive suite of solutions including business and technology consulting, Cloud,e-business and digital transformation services, system integration, custom application development, re-engineering, and long-term application support. Vytwo Technologies is a global leader in enterprise application integration, delivering end-to-end IT consulting and business services for mid to large-scale organizations.

    Numbers & Facts

    LocationDallas, Texas
    Websitehttps://www.vytwo.com

    Description

    About the Role:
    Vytwo is looking for a talented and driven Senior Data Engineer to join our growing team in Dallas, TX. This is an exciting opportunity to work on cutting-edge data infrastructure and pipelines that power real business decisions. If you're passionate about scalable data solutions and thrive in a fast-paced environment, we want to hear from you.

    Role: Senior Data Engineer- US Citizen
    Location: Minneapolis, MN
    Rate: Depends on experience


    Additional Requirements

    • Must be currently located in Minnesota (MN), or willing to relocate
    Responsibilities:
    • Design, build, and maintain scalable data pipelines and ETL/ELT workflows
    • Architect and optimize data warehouses, data lakes, and cloud-based data platforms
    • Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions
    • Monitor, troubleshoot, and improve data pipeline performance and reliability
    • Implement data governance, security, and quality best practices
    • Develop and maintain documentation for data systems and processes
    • Evaluate and integrate new data technologies and tools to enhance the data ecosystem
    Requirements:
    • Must be a US Citizen
    • 5+ years of experience in data engineering or a related field
    • Proficiency in SQL and at least one programming language such as Python or Scala
    • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
    • Experience with big data technologies such as Spark, Kafka, or Hadoop
    • Strong understanding of data modeling, data warehousing, and database design
    • Excellent problem-solving skills and ability to work both independently and collaboratively

    Flexible work from home options available.

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.





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