Senior Data & AI Engineer — GCP Data Platform Architect

KADIT Innovations

Dallas, Northern (TX, KY)

Hybrid

USD 120,000 - 170,000

Full time

14 days+
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Job summary

KADIT Innovations is hiring for a data engineering role focused on building scalable data pipelines and AI/ML solutions on Google Cloud Platform. You will work with data scientists and product teams to translate business needs into robust data systems.

The position emphasizes performance, cost optimization, and data quality across large-scale data warehouses, with opportunities to mentor junior engineers and shape architecture decisions.

Qualifications

  • 5–8 years of Data Engineering experience.
  • Strong hands-on experience with GCP Data Platform and BigQuery.
  • 2–3 years of practical AI/ML experience.
  • Proficiency in Python and SQL.
  • Experience with ETL/ELT pipelines and large-scale data processing.
  • Familiarity with ML frameworks and MLOps practices.

Responsibilities

  • Design, develop, and maintain scalable, reliable, and cost-efficient data pipelines on GCP.
  • Architect and optimize large-scale data warehouses and analytical solutions.
  • Build and operationalize end-to-end AI/ML solutions from data prep to deployment.
  • Collaborate with data scientists and stakeholders to translate requirements.
  • Implement data governance, quality, and security across the platform.
  • Develop CI/CD pipelines for data and ML workflows.

Skills

Data Engineering
BigQuery
AI/ML experience
Python
SQL
ETL/ELT pipelines
ML frameworks
System design
Problem solving

Education

Bachelor’s or Master’s in CS/IT/Data Science

Tools

Terraform
Airflow/Composer
Spark
Pub/Sub
Kubernetes
Vertex AI

Job description

KADIT Innovations is hiring for a data engineering role focused on building scalable data pipelines and AI/ML solutions on Google Cloud Platform. You will work with data scientists and product teams to translate business needs into robust data systems.

The position emphasizes performance, cost optimization, and data quality across large-scale data warehouses, with opportunities to mentor junior engineers and shape architecture decisions.

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