Senior Data Engineer

Crexi•Los Angeles, CA

9d•$158,000 - $214,000•Onsite

About The Position

The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models, and infrastructure that power Crexi’s data and analytics. The role drives data quality and reliability, mentors other engineers, and partners across teams. It exists to deliver trustworthy, performant data systems at the scale Crexi’s products require.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
4+ years of data engineering experience, including ownership of scalable pipelines and models.
Strong proficiency with SQL and a data-engineering language (e.g., Python), plus pipeline/orchestration tools.
Experience designing scalable data models and cloud data platforms (e.g., warehouse/lakehouse).
Solid grasp of data quality, observability, and performance optimization.
Sound judgment using AI-assisted development tools.
Ability to mentor and elevate other engineers.
Thrives in a fast-paced, dynamic environment.
Exceptional communication skills, with the ability to provide clear and concise information to stakeholders at all levels of the organization.
Strong analytical skills, with the ability to interpret complex information, identify patterns, and present insights clearly and accurately.
Excellent organizational and prioritization skills, with the ability to manage multiple priorities and deadlines simultaneously.
Self-starter who independently owns their own success and demonstrates strong initiative.
Responsive, action-oriented, and proactive in identifying and resolving issues.
Strong problem-solving and creative thinking skills, with the ability to evaluate options and implement effective solutions.
Effective collaborator and team player, with the ability to work cross-functionally and build strong working relationships.
Demonstrated ability to handle sensitive and confidential information with the utmost professionalism and discretion.

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.