Data Engineer: Build the Central Data Platform Backbone

Socket.dev; Austin (TX); On-site; USD 132,100 - 178,800; Full time

Job summary

Amazon Web Services (AWS) seeks a Data Engineer to join the centralized analytics team. You will design, build, and operate scalable data pipelines that ingest product telemetry, usage events, and business outcomes, connecting signals to measurable results.

In this role you will implement a centralized data platform using AWS-native technologies, develop robust data models, and support AI/ML pipelines while collaborating with scientists, SDEs, and BI engineers to enable self-serve analytics

Qualifications

• 3+ years of data engineering experience.
• Experience building scalable ETL/ELT pipelines and data models.
• Experience with SQL for analytics and data processing.

Responsibilities

• Design, build, and operate scalable ETL/ELT pipelines ingesting telemetry, usage, and business data.
• Architect a centralized data platform using AWS-native services (Redshift, S3, Glue, Lake Formation, Lambda, Athena).
• Develop data infrastructure for AI/ML workflows and agentic systems.

Skills

Data engineering

SQL

Data modeling

ETL/ELT pipelines

Tools

Redshift

S3

Glue

Lambda

Athena

Job description

Amazon Web Services (AWS) seeks a Data Engineer to join the centralized analytics team. You will design, build, and operate scalable data pipelines that ingest product telemetry, usage events, and business outcomes, connecting signals to measurable results.

In this role you will implement a centralized data platform using AWS-native technologies, develop robust data models, and support AI/ML pipelines while collaborating with scientists, SDEs, and BI engineers to enable self-serve analytics