Senior Data Engineer: Snowflake, AWS & Private Credit

Machine Learning Technologies, LLC; Los Angeles (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a senior data engineer in Los Angeles to lead building scalable, cloud-native data pipelines and architectures. You will design robust data models, optimize Snowflake-based solutions, and work with AWS services to support investment-focused data platforms.

The role requires 7+ years in data engineering, strong SQL, and hands-on Snowflake/AWS experience, with Private Credit experience preferred.

Qualifications

• 7+ years of experience in data engineering
• Experience in the investment domain, specifically Private Credit, is required
• Expert-level proficiency in SQL
• Deep expertise in database design, data modeling, data warehousing, and data architecture best practices
• Strong hands-on expertise in Snowflake for building and optimizing cloud-based data warehousing and processing solutions
• Strong hands-on experience setting up AWS infrastructure, including S3, ECR, Fargate, and related services such as Glue, Lambda, EC2, Athena
• Private Credit experience is preferred

Responsibilities

• Own end-to-end data engineering deliverables.
• Design and optimize cloud-native data pipelines and architectures.
• Collaborate with teams to ensure scalable, reliable data solutions.

Skills

SQL

Snowflake

AWS

Python

Data warehousing

Data modeling

CI/CD

Terraform

Job description

Machine Learning Technologies, LLC seeks a senior data engineer in Los Angeles to lead building scalable, cloud-native data pipelines and architectures. You will design robust data models, optimize Snowflake-based solutions, and work with AWS services to support investment-focused data platforms.

The role requires 7+ years in data engineering, strong SQL, and hands-on Snowflake/AWS experience, with Private Credit experience preferred.