Data Engineer

Ethereum Technologies; Los Angeles (CA); On-site; USD 150,000 - 180,000; Full time

Job summary

Ethereum Technologies in Los Angeles is seeking a senior data engineer with 7+ years of experience to design, build, and optimize cloud-native data pipelines and architectures. You will own end-to-end data solutions and drive Snowflake-based warehousing and AWS infrastructure tasks.

Key requirements include expert SQL, strong Python skills, data modeling, and experience with data warehousing best practices.

Qualifications

• 7+ years in data engineering with cloud-native pipelines and architectures.

Skills

Advanced SQL

Query optimization

Snowflake

AWS data services

Python

Data warehousing

Data modeling

CI/CD

Infrastructure-as-Code

Terraform

CDK

APIs integration

Private Credit

Tools

Snowflake

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

J ob D escription:

7+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable, cloud-native data pipelines and architectures.
Experience in the investment domain, specifically Private Credit, is required.
Expert-level proficiency in SQL, with strong experience in large-scale data processing, transformation, automation, and orchestration.
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 Amazon S3, Amazon ECR, and AWS Fargate, with advanced proficiency in related services such as AWS Glue, AWS Lambda, Amazon EC2, and Amazon Athena.
Private Credit experience is preferred.

Data Engineering Assessment Areas:

• Advanced SQL and query optimization
• Snowflake architecture and implementation
• Understanding of AWS Data Engineering responsibilities versus AWS Infrastructure responsibilities
• Strong Python proficiency
• Data Warehousing and Data Modeling concepts
• CI/CD and Infrastructure-as-Code practices (Terraform/CDK)
• API integrations and data processing use cases

Candidate Experience Expectations:

We are specifically looking for highly experienced professionals who can:

• Work independently with minimal supervision
• Take end-to-end ownership of deliverables
• Demonstrate clear implementation experience across projects
• Articulate technical decisions, architecture, and hands-on contributions confidently

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.