Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Designing and optimizing scalable cloud-based data platforms and pipelines to support enterprise AI and machine learning initiatives with an accent on data architecture and distributed processing. Focus on leading technical implementation, mentoring engineering staff, and ensuring high-performance data integration for complex analytics workloads.

Location: Must be based in Houston, TX (Onsite)

Company

hirify.global is a professional staffing and workforce solutions provider.

What you will do

• Design and develop scalable cloud-based data pipelines and platforms.
• Translate complex business requirements into robust technical data architectures.
• Collaborate with AI engineers, data scientists, and software engineers to deliver enterprise-scale solutions.
• Improve data infrastructure through automation and engineering best practices.
• Ensure data quality, governance, and platform reliability.
• Provide technical leadership and mentor junior and mid-level engineers.

Requirements

• 10+ years of professional Data Engineering experience.
• Must be eligible for W2 employment (No C2C).
• Expert-level proficiency in Python and SQL.
• Strong experience with cloud platforms (AWS, Azure, or GCP).
• Experience with distributed processing tools like Spark or Databricks.
• Proven experience with orchestration tools such as Airflow or Azure Data Factory.

Culture & Benefits

• Contract opportunity with a duration of 12+ months.
• Visa sponsorship available for qualified candidates.
• Opportunity to work on high-impact enterprise AI initiatives.
• Collaborative environment working with cross-functional technical teams.