Enterprise AI Data Engineer: Real-Time Pipelines

Factualiq; Mission (KS); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Career progression opportunities

Collaborative work environment

Learning and development support

Job summary

A leading data infrastructure firm in the United States is seeking an AI Data Engineer to develop and maintain high-performance data systems. You will implement data pipelines, optimize database structures, and create workflows that support AI decision-making for enterprise clients. The ideal candidate should have a Bachelor's degree and at least 4 years of production experience in data engineering with a strong proficiency in Python and SQL. Competitive salary and growth opportunities are offered.

Qualifications

• 4+ years of production data engineering experience.
• Experience with data pipeline orchestration tools.
• Strong understanding of data processing libraries.
• Experience with cloud data platforms.

Responsibilities

• Implement and maintain data pipelines.
• Build and optimize database systems.
• Develop semantic search capabilities.
• Implement data models for AI workflows.

Skills

Python proficiency

Strong SQL skills

Data modeling

Data quality practices

Experience with relational databases

Experience with vector databases

Education

Bachelor’s degree in Computer Science or related field

Tools

PostgreSQL

Airflow

Pandas

Kafka

Job description

A leading data infrastructure firm in the United States is seeking an AI Data Engineer to develop and maintain high-performance data systems. You will implement data pipelines, optimize database structures, and create workflows that support AI decision-making for enterprise clients. The ideal candidate should have a Bachelor's degree and at least 4 years of production experience in data engineering with a strong proficiency in Python and SQL. Competitive salary and growth opportunities are offered.