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Slalom

Lead Data Engineer

Slalom
Los Angeles, CA $60 - $80/hr Full time Posted 34m ago
Artificial Intelligence Data Analytics Data Engineer Data Engineering Data Engineering Lead Data Integration Data Pipeline Data Platform Data Processing Data Warehouse Database Databases Integration Lead Data Engineering Programming Languages SQL
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Job Description

The Lead Data Engineer role supports Slalom’s Data and analytics business function by designing and delivering scalable data pipelines that enable analytics and AI initiatives. This onsite position in Los Angeles focuses on integrating data from multiple sources into cloud platforms and establishing reusable engineering frameworks, documentation, and operational support.

Role Overview

In this position, you will lead the design, build, and deployment of data pipelines for analytics and AI use cases. You will work with stakeholders to integrate data from multiple source systems, optimize performance and reliability, and improve pipelines based on feedback. You will also produce technical documentation covering pipelines, integrations, configurations, and ongoing support procedures.

Key Responsibilities

  • Design, build, and deploy scalable data pipelines supporting 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 implement enhancements based on stakeholder feedback.
  • Create technical documentation covering pipelines, integrations, configurations, and ongoing support procedures.

Required Qualifications

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

Technology Stack

  • Snowflake
  • dbt
  • SQL
  • Python
  • Java

Compensation

The hourly pay range is $60/hr to $80/hr. Actual compensation will depend on skills, experience, qualifications, location, and other relevant factors. The hourly pay range is subject to change and may be modified at any time.

Benefits

  • Meaningful time off and paid holidays
  • Parental leave
  • 401(k) with a match
  • Highly subsidized health, dental, and vision coverage
  • Adoption and fertility assistance
  • Short/long-term disability
  • Yearly $350 reimbursement account for well-being-related expenses
  • Discounted home, auto, and pet insurance

Location and Posting Details

  • Location: Los Angeles, CA (onsite)
  • Business Function: Data & analytics
  • Date posted: Wednesday, November 11, 2026
  • Ref. #: 2467

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