Data Engineer II - Cloud Data Pipelines & Analytics

Socket.dev; Seattle (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Web Services (AWS) in Seattle is seeking a Data Engineer to build scalable data pipelines and infrastructure for analytics and business operations.

You will design and implement high-volume data structures, work with ETL/ELT processes, and collaborate with BI and ML teams to deliver reliable data solutions.

The role requires 3+ years of data engineering experience and hands-on use of AWS tools like Redshift, S3, Glue, EMR, and Lambda.

Qualifications

• 3+ years of data engineering experience.
• 1+ years designing and operating large-scale BI data structures with ETL/ELT.
• 1+ years of OLAP, data modeling, and SQL work on large datasets.

Responsibilities

• Architect and implement scalable, reliable data pipelines and infrastructure.
• Design and operate large-scale data structures for BI analytics.
• Build robust ETL pipelines using SQL, Python, and AWS services.
• Model data using best practices to support online reporting and analysis.
• Mentor junior data engineers and manage AWS resources (EC2, Redshift, S3).
• Participate in full SDLC from design to documentation and maintenance.

Skills

Data engineering

ETL/ELT

OLAP

SQL

AWS services

Tools

Redshift

S3

Glue

EMR

Kinesis

Firehose

Lambda

IAM

Job description

Amazon Web Services (AWS) in Seattle is seeking a Data Engineer to build scalable data pipelines and infrastructure for analytics and business operations.

You will design and implement high-volume data structures, work with ETL/ELT processes, and collaborate with BI and ML teams to deliver reliable data solutions.

The role requires 3+ years of data engineering experience and hands-on use of AWS tools like Redshift, S3, Glue, EMR, and Lambda.