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Senior Data Engineer-

  • Dallas, TX, United States

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Job details

Experience
5+ years of experience in data engineering or a related field
Posting language
English
Posted

Original job 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.

More about this job

Skills

  • Data engineering
  • Troubleshoot
  • Documentation
  • SQL
  • Python
  • Scala
  • AWS
  • Microsoft Azure
  • Google Cloud
  • Apache Spark
  • Apache Kafka
  • Apache Hadoop
  • Data modelling
  • Data warehousing
  • Problem solving

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