Data Ingestion Platform Engineer — Petabyte-Scale

Amazon Web Services (AWS); Seattle (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

RSUs

Competitive compensation

Paid time off

Job summary

Amazon Development Center U.S., Inc. in Seattle, WA, is seeking a Data Engineer to design, build, and operate a scalable ingestion platform for petabyte-scale data.

You will own end-to-end ingestion pipelines, governance, and reliability across AWS services. Ideal candidates have 5+ years in data engineering, strong SQL, data modeling, and governance capabilities, with experience using AWS data services and big data technologies.

Qualifications

• 5+ years of data engineering experience.
• 3+ years of developing and operating large-scale data structures for BI analytics using ETL/ELT processes.
• 3+ years of developing and operating large-scale data structures for BI analytics using data modeling experience.
• 3+ years of SQL experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience implementing data governance controls: access management, encryption, data classification, and audit logging.

Responsibilities

• Design and build reusable, configuration-driven ingestion frameworks and abstractions that automatically onboard new AWS services and data sources at launch without manual intervention.
• Implement event-driven architectures and self-registration mechanisms that enable service teams to onboard data sources through standardized, self-service interfaces.
• Build and operate big data procurement pipelines at petabyte scale across thousands of concurrent ingestion jobs.
• Establish governance, compliance, and audit controls across the ingestion platform with full data lineage and security controls.
• Identify and resolve data quality issues; implement automated guardrails and SLAs for ingestion completeness, freshness, and accuracy.
• Produce high-quality platform code that is secure, maintainable, and understandable by engineers unfamiliar with the system.
• Contribute to infrastructure decisions, manage compute/storage/AWS resources for stable, cost-optimized solutions.
• Own operational health for ingestion systems—monitoring, alarming, runbooks, on-call rotation, incident resolution; drive automation.
• Drive engineering best practices through code reviews, design discussions, and operational reviews.
• Collaborate cross-functionally with upstream and downstream teams; resolve technical perspectives and build consensus on direction.
• Mentor peers, participate in hiring, and contribute to team knowledge-sharing.

Skills

Data engineering

ETL/ELT pipelines

SQL

Data modeling

Data governance

Education

Bachelor's degree in Computer Science or related field

Tools

Redshift

S3

Glue

EMR

Kinesis

IAM

Job description

Amazon Development Center U.S., Inc. in Seattle, WA, is seeking a Data Engineer to design, build, and operate a scalable ingestion platform for petabyte-scale data.

You will own end-to-end ingestion pipelines, governance, and reliability across AWS services. Ideal candidates have 5+ years in data engineering, strong SQL, data modeling, and governance capabilities, with experience using AWS data services and big data technologies.