Data Engineer II - Scale Data Lakes & Pipelines on AWS

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

Parental leave

Job summary

Amazon’s AWS Data Center Capacity Delivery team seeks a Data Engineer to grow our Data Lake and Data Warehouse systems using a serverless AWS stack including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR and more.

You’ll collaborate with a diverse team of engineers and construction specialists to build scalable, secure data pipelines, enforce governance, and deliver insights that drive multi‑billion dollar decisions. This role emphasizes building reliable data platforms and high quality code.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL.
• Knowledge of software engineering best practices for SDLC.
• Knowledge of distributed systems for data storage and computing.
• Experience with batch and streaming data architectures.
• Experience as data engineer or related role.
• Experience in at least one modern language (Python/Java/Scala/NodeJS).
• Experience with Apache Spark / EMR.

Responsibilities

• Design scalable, fault-tolerant data pipelines using AWS and internal tools.
• Collaborate with BIEs, Data Scientists, PMs, and SDEs to deliver data solutions.
• Automate infrastructure deployment with CI/CD pipelines.
• Ensure data quality through validation, cleansing, and deduplication.
• Implement data governance: access control, encryption, retention and audit.
• Improve data pipelines and infrastructure with modern tech and automation.
• Build a scalable data platform for analytics and self-service data products.
• Write high quality code interfacing with services and APIs.
• Work with Python, EMR, Spark, Iceberg, Airflow and AWS data services.

Skills

Data modeling

ETL pipelines

SQL

Python

Java

Scala

NodeJS

Distributed systems

Spark / EMR

Data warehousing

Kafka / Kinesis

Education

Bachelor's degree in CS or related

Master's degree (preferred)

Tools

Apache Spark / EMR

AWS services (Redshift, S3, Glue, EMR, Kinesis)

CI/CD tooling

Job description

Amazon’s AWS Data Center Capacity Delivery team seeks a Data Engineer to grow our Data Lake and Data Warehouse systems using a serverless AWS stack including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR and more.

You’ll collaborate with a diverse team of engineers and construction specialists to build scalable, secure data pipelines, enforce governance, and deliver insights that drive multi‑billion dollar decisions. This role emphasizes building reliable data platforms and high quality code.