Data Engineer II — Scalable Pipelines & Self-Service Analytics

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

Job summary

Amazon's Data Engineer II will design, build, and optimize data solutions powering analytics and decision-making across the CS org. You will own data models and pipelines end-to-end, ingesting semi-structured and structured data for reporting and self-serve BI.

You will collaborate with SDEs, BIEs, Data Scientists, and PMs, ensuring data quality, governance, and scalable architectures that support business insights and operational excellence. On-site in Seattle preferred.

Qualifications

• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field

Responsibilities

• Design and implement logical and physical data models for complex datasets, driving downstream analytics and self-service BI infrastructure
• Build and optimize data pipelines (ETL/ELT) for difficult and large-scale datasets using technologies such as AWS Glue, Spark, Redshift, and EMR
• Own ongoing data quality - establish SLAs, define data certification, and build monitoring/alerting for pipeline health
• Improve self-service access to data; build tools for data lineage tracking, discoverability, and governance
• Automate manual processes and improve code quality, dependency management, and operational excellence
• Partner with SDEs and other engineers to integrate data solutions into broader team architecture
• Balance customer requirements with team technical strategy and long-term maintainability
• Mentor and develop peers; participate in hiring and technical assessments

Skills

Data engineering

ETL/ELT pipelines

SQL

OLAP

Spark

AWS

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field

Tools

AWS Glue

Spark

Redshift

EMR

Kinesis

S3

Lambda

IAM roles

Job description

Amazon's Data Engineer II will design, build, and optimize data solutions powering analytics and decision-making across the CS org. You will own data models and pipelines end-to-end, ingesting semi-structured and structured data for reporting and self-serve BI.

You will collaborate with SDEs, BIEs, Data Scientists, and PMs, ensuring data quality, governance, and scalable architectures that support business insights and operational excellence. On-site in Seattle preferred.