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

- **Company:** AMAZONAS HOLDINGS, LLC
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Structures, Data Systems, Identity and Access Management, SQL Databases, Session Description Protocol Security Descriptions (SDES), Data Analytics, Machine Learning Operations, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-engineer-specialist-technology-team-stt-centralized-data-and-analytics-seattle-wa-usa-58874476

## About the Role

* and natural-language data access layers * Implement data quality frameworks with automated monitoring, alerts, and validation * Create self-service data products with clear SLAs, docs, and governance * Collaborate with Applied Scientists and SDEs to provide clean data for evaluation frameworks and content scoring * Establish data contracts, lineage, and catalog metadata for discoverability and trust * Maintain on-call readiness and proactive issue resolution to protect data freshness and quality * Contribute to evolving from dashboards to agentic data systems for AI agents to query and reason over Tasks * 3+ years of data engineering experience * 3+ years in building and operating large-scale BI analytics data structures via ETL/ELT * 3+ years in data modeling for BI analytics * 3+ years of SQL experience * experience with AWS tech (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM) is preferred Key requirements * health insurance (medical, dental, vision) * 401(k) matching *
paid time off * RSUs (restricted stock units) * sign-on payments * parental leave

## Description

Experteer Overview As a Data Engineer in the centralized analytics team, you will build the data backbone to power intelligent analytics and agent-driven experiences. You'll design scalable data pipelines and a centralized AWS-native data platform, enabling measurement of success and data-driven investment decisions. Your work connects product telemetry, usage data, and business outcomes to inform product strategy and self-service analytics for thousands of AWS field teams. Compensation / Benefits * Design, build, and operate scalable ETL/ELT pipelines ingesting telemetry, usage events, and business data from multiple sources * Architect and implement a centralized data platform using AWS-native tech (Redshift, S3, Glue, Lake Formation, Lambda, Athena) as single source of truth * Develop data models linking usage signals to business outcomes (content effectiveness, field engagement, pipeline progression, revenue impact) * Support AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers * Implement data quality frameworks with automated monitoring, alerts, and validation * Create self-service data products with clear SLAs, docs, and governance * Collaborate with Applied Scientists and SDEs to provide clean data for evaluation frameworks and content scoring * Establish data contracts, lineage, and catalog metadata for discoverability and trust * Maintain on-call readiness and proactive issue resolution to protect data freshness and quality * Contribute to evolving from dashboards to agentic data systems for AI agents to query and reason over Tasks * 3+ years of data engineering experience * 3+ years in building and operating large-scale BI analytics data structures via ETL/ELT * 3+ years in data modeling for BI analytics * 3+ years of SQL experience * experience with AWS tech (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM) is preferred Key requirements * health insurance (medical, dental, vision) * 401(k) matching * paid time off * RSUs (restricted stock units) * sign-on payments * parental leave


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