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

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.