Senior Data Engineer: Scalable Pipelines & AI Tools

Crexi; Los Angeles (CA); On-site; USD 158,000 - 214,000; Full time

Benefits offered by this job

Health, Dental, Vision insurance

Flexible team structure

Career progression opportunities

Job summary

Crexi, located in Playa Vista, California, seeks a Senior Data Engineer to own the design and delivery of robust, scalable data pipelines, models, and infrastructure powering Crexi's data and analytics.

You will drive data quality and reliability, mentor engineers, and partner across analytics, ML, software, and product teams to ensure trustworthy data systems at scale. The role emphasizes AI-assisted tooling and proactive issue resolution.

Qualifications

• Bachelor's degree in CS, data engineering, or related field.
• 4+ years of data engineering experience.
• Strong SQL and Python proficiency.
• Experience designing scalable data models and cloud data platforms.

Responsibilities

• Designs, builds, and owns scalable data pipelines and ETL/ELT workflows and the underlying data models.
• Drives data quality, reliability, observability, and performance across data systems.
• Partners with analytics, ML, software, and product teams to deliver data for products and insights.
• Owns data infrastructure and orchestration and improves CI/CD for data workflows.
• Integrates AI-assisted development tools into the team's workflow to improve quality and velocity, and contributes to evaluating AI-powered capabilities in Crexi's products.
• Leads resolution of complex data issues and improves system reliability.
• Mentors engineers and contributes to data engineering standards.

Skills

SQL

Python

Data pipelines

Data modeling

Cloud data platforms

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

Airflow

Job description

Crexi, located in Playa Vista, California, seeks a Senior Data Engineer to own the design and delivery of robust, scalable data pipelines, models, and infrastructure powering Crexi's data and analytics.

You will drive data quality and reliability, mentor engineers, and partner across analytics, ML, software, and product teams to ensure trustworthy data systems at scale. The role emphasizes AI-assisted tooling and proactive issue resolution.