Senior Data Engineer: AI-Driven Cloud Data Pipelines

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

Benefits offered by this job

401(k) with match

Comprehensive health, dental, & vision

Paid holidays and time off

Wellbeing reimbursement $350 annually

Discounted home, auto, and pet insured

Job summary

Slalom Build is seeking a data engineer to design, build, and deploy scalable data pipelines for analytics and AI initiatives. You will integrate data from multiple sources into cloud-based storage and processing platforms, and promote reusable frameworks and best practices.

You will optimize pipelines for security, reliability, and performance, troubleshoot issues, and document configurations and ongoing support procedures for the team.

Qualifications

• Minimum 5+ years of data engineering experience.
• Experience with Snowflake and dbt.
• Strong ability to design and deploy scalable data pipelines.

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

Skills

Data engineering

5+ years experience

Tools

Snowflake

dbt

Job description

Slalom Build is seeking a data engineer to design, build, and deploy scalable data pipelines for analytics and AI initiatives. You will integrate data from multiple sources into cloud-based storage and processing platforms, and promote reusable frameworks and best practices.

You will optimize pipelines for security, reliability, and performance, troubleshoot issues, and document configurations and ongoing support procedures for the team.