Lead Data Engineer - Scalable AI Pipelines (LA Onsite)

Slalom; Los Angeles (CA); On-site; USD 83,000 - 110,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, and vision coverage

Parental leave

Paid holidays

Short-term and long-term disability

Well-being reimbursement account

Job summary

Slalom in Los Angeles is seeking a Lead Data Engineer to design, build, and deploy scalable analytics pipelines in a cloud environment. You will integrate data from diverse sources into cloud storage and processing platforms, and establish reusable data engineering frameworks, standards, and best practices.

This role emphasizes scalability, security, and reliability across data workflows. The ideal candidate brings 5+ years of data engineering experience and strong coding skills (SQL, Python,

Qualifications

• 5+ years of data engineering experience.
• Proficiency designing and building robust, scalable configuration-driven data pipelines
• Experience with Snowflake and dbt
• Strong programming skills using SQL, Python, Java, etc.

Responsibilities

• Design, build, and deploy scalable data pipelines for analytics and AI initiatives
• Integrate data from multiple source systems into cloud-based data storage and processing platforms
• Implement reusable data engineering frameworks, standards, and development best practices
• Optimize pipelines and integrations for scalability, security, reliability, and performance
• Troubleshoot data and pipeline issues and deliver enhancements based on stakeholder feedback
• Create technical documentation covering pipelines, integrations, configurations, and ongoing support procedures

Skills

Data pipelines design

Cloud data platforms

SQL

Python

Java

Tools

Snowflake

dbt

Job description

Slalom in Los Angeles is seeking a Lead Data Engineer to design, build, and deploy scalable analytics pipelines in a cloud environment. You will integrate data from diverse sources into cloud storage and processing platforms, and establish reusable data engineering frameworks, standards, and best practices.

This role emphasizes scalability, security, and reliability across data workflows. The ideal candidate brings 5+ years of data engineering experience and strong coding skills (SQL, Python,