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

AWS Specialist Technology Team (STT) is seeking a Data Engineer to help create a centralized analytics data platform from the ground up. This role focuses on scalable ETL/ELT, data modeling, and operational ownership to unify telemetry, usage metrics, and business outcomes for agent-driven analytics and executive decision-making.

Responsibilities

• Design, build, and operate scalable ETL/ELT pipelines that ingest 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 services including Redshift, S3, Glue, Lake Formation, Lambda, and Athena to establish a single source of truth for organizational analytics
• Build and maintain data models that connect product usage signals to business outcomes, including pipelines that relate engagement and progression to revenue impact
• Develop data infrastructure for 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 their own questions
• Collaborate with Applied Scientists and SDE teams to deliver clean, well-modeled datasets for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring
• Establish data contracts, lineage tracking, and catalog metadata to improve discoverability and organizational trust
• Maintain operational excellence by owning on-call responsibilities, monitoring pipeline health, and resolving data freshness or quality issues before they affect consumers
• Support the transition from static dashboards to agentic data systems by building foundational data layers that AI agents query and reason over

Requirements

• 3+ years of data engineering experience
• 3+ years of experience developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
• 3+ years of experience developing and operating large-scale data structures for business intelligence analytics using SQL
• 3+ years of experience developing and operating large-scale data structures for business intelligence analytics using data modeling
• 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 and 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 such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases and data stores, including object storage, document or key-value stores, graph databases, and column-family databases

About the Team

• Join a high-growth engineering organization applying generative AI and agentic technologies to transform how AWS field teams operate
• The centralized analytics team is being built from the ground up, and you will be one of the first two Data Engineers on the team
• Work alongside Business Intelligence Engineers, a Senior BD, an Applied Scientist, and a TPM
• Make foundational architectural decisions that shape how the platform will be built, scaled, and operated for years to come
• Operate in an environment where innovation is fast, problems are ambiguous, and impact is measured across thousands of field team members and the customers they serve
• Help define how an entire organization consumes and acts on data through foundational platform architecture

Role Details

• Location: New York, NY (onsite)
• Compensation: USD 132,100 - 196,600 per year