Senior Data Engineer (Full-Stack)

This role sits within an AI-focused division, where you will enhance and scale existing data pipelines while collaborating with a diverse team of 35 members. You will leverage your full-stack data engineering skills to enrich the data platform's capabilities, integrate AI implementations, and improve overall data architecture throughput. This position offers the chance to work with cutting-edge technologies and contribute to innovative data solutions.

Key Responsibilities:

• Enhance and scale existing data pipelines and chains, building on legacy systems that process over 2 billion units of data.
• Develop new features for the data platform to improve its capabilities and overall throughput.
• Integrate practical AI implementations using major large language models and generative frameworks.
• Collaborate with a diverse team of onshore and offshore members to achieve project goals.

Required Qualifications:

• Bachelor's Degree in Computer Science, Computer Applications, Computer Engineering, IT, CIS, MIS, or a closely related field.
• Five years of experience as a Data Engineer or in similar roles such as Oracle, Software, Applications, or Database Engineer.
• Expertise in end-to-end systems architecture across full-stack data environments.
• Direct experience designing and engineering data security platforms.
• Hands-on application development experience using SQL, Python, .NET, Node, Java, or similar data query languages.

Additional Details:

• Location: Houston, TX 77002

Join a dynamic team where you'll work with major AI frameworks and contribute to innovative data solutions that shape the future of data engineering. If you're passionate about technology and collaboration, this opportunity is for you.

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