Senior Data Engineer-

Vytwo; Dallas (TX); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Vytwo is seeking a Senior Data Engineer in Dallas, TX to design and maintain data pipelines and data platforms that empower business decisions. You will collaborate with data scientists and stakeholders to implement scalable data solutions and governance.

The role requires 5+ years of data engineering experience, strong SQL, and expertise in cloud and big data technologies. Flexible work-from-home options are available, with the position based in the Dallas area.

Qualifications

• 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.

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.

Skills

SQL

Python/Scala

Cloud platforms

Big data technologies

Data modeling & warehousing

Tools

Spark

Kafka

Hadoop

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.