Senior AI Data Engineer: Real-Time Data Platforms

Constellation

Houston (TX)

On-site

USD 146,000 - 162,000

Full time

44 hours ago
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Job summary

Constellation seeks a senior data engineer to design, build, and maintain AI data platforms and frameworks for processing high volumes of data in real time and batch. You will lead the development of complex datasets and collaborate across teams to deliver scalable AI solutions on Azure.

The role emphasizes architecture, design, implementation, and testing to ensure high-quality releases. Strong collaboration, mentoring, and adherence to best practices are essential in this fast-paced energy

Qualifications

  • Bachelor's degree in Accounting with 5+ years experience.
  • 5-years of RDBMS experience.
  • Experience with private and public cloud architectures, pros/cons, and migration considerations.
  • Experience with Azure DevOps, Copado, GitHub, Heroku, ServiceNow or similar tools.
  • 3-years hands-on experience in Java 8, C#, Node.js, Python, SQL; Unix shell/Perl scripting.
  • 5-years data engineer experience in AI/ML lifecycle; strong data integration focus.
  • 3-years of Azure consulting or client service delivery experience.

Responsibilities

  • Produce high-quality, secure, and maintainable code/configurations.
  • Learn and understand business processes with limited guidance.
  • Work collaboratively in an agile development environment.
  • Support and research issues across all application layers and database.
  • Identify areas to improve and scale our Azure architecture and design.
  • Design, develop, and review complex code for AI solutions.

Skills

Analytical skills
Problem solving
Attention to detail
Independent decision making

Education

Bachelor's degree in Accounting

Tools

Azure DevOps
GitHub
Copado
Heroku
ServiceNow
Azure Data Factory

Job description

Constellation seeks a senior data engineer to design, build, and maintain AI data platforms and frameworks for processing high volumes of data in real time and batch. You will lead the development of complex datasets and collaborate across teams to deliver scalable AI solutions on Azure.

The role emphasizes architecture, design, implementation, and testing to ensure high-quality releases. Strong collaboration, mentoring, and adherence to best practices are essential in this fast-paced energy

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