Aws Iam Engineer Jobs

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Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics

Amazon Web Services, Inc. New York, NY

New York, NY

Today

$132k - $197k/yr Full time Amazon Athena Amazon Emr Amazon Web Services

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Job Description

AWS Specialist Technology Team (STT) is seeking a Data Engineer to help design and implement a centralized analytics data platform for unified reporting and agent-driven insights. The role will build scalable data pipelines and models that connect product telemetry, usage metrics, and business outcomes to support analytics experiences and executive decision-making.

Responsibilities

Design, build, and operate scalable ETL/ELT pipelines ingesting product telemetry, usage events, and business outcome data from multiple heterogeneous sources across the STT product portfolio
Architect and implement a centralized data platform using AWS-native technologies, including Redshift, S3, Glue, Lake Formation, Lambda, and Athena, to provide a single source of truth for organizational analytics
Build and maintain data models that link product usage signals to business outcomes, including analytics workflows for content effectiveness, field engagement, pipeline progression, and revenue impact
Develop data infrastructure to support AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers
Implement data quality frameworks with automated monitoring, alerting, and validation to maintain accuracy and reliability as the platform scales
Create self-service data products with defined SLAs, documentation, and governance to reduce ad-hoc requests and enable stakeholders to answer questions independently
Partner with Applied Scientists and SDE teams to deliver clean, well-modeled data for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring
Establish data contracts, lineage tracking, and catalog metadata to improve discoverability and trust across the organization
Maintain operational excellence by owning on-call, monitoring pipeline health, and resolving data freshness or quality issues before they affect consumers
Help progress from static dashboards to agentic data systems by creating foundational data layers that AI agents can query and reason over

Requirements

3+ years of data engineering experience
3+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
3+ years developing and operating large-scale business intelligence analytics data structures using SQL
3+ years developing and operating large-scale business intelligence analytics data structures using data modeling experience
3+ years of experience in the job offered or a related occupation

Technologies

Redshift, S3, Glue, Lake Formation, Lambda, Athena
ETL, ELT
SQL, EMR, Kinesis, FireHose
IAM roles and permissions
Natural-language data access layers
MCP tools

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Preferred Qualifications

Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases or data stores such as object storage, document or key-value stores, graph databases, or column-family databases

About the Team

Join a high-growth engineering organization focused on applying generative AI and agentic technologies to transform how AWS field teams operate
The centralized analytics team is being built from the ground up, with this role among the first two Data Engineers on the team
Work alongside Business Intelligence Engineers, a Senior BD, an Applied Scientist, and a TPM
Contribute to foundational architectural decisions that influence how the platform is built, scaled, and operated long-term
Operate in an environment where innovation pace is high, problems are ambiguous, and impact extends across thousands of field team members and the customers they serve

Location and Compensation

New York, NY (onsite). USD 132,100 - 196,600 per year.

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