Data Engineer I: Build Trusted Data Pipelines

Amazon; Seattle (WA); On-site; USD 101,000 - 160,000; Full time

Job summary

Amazon Seattle is hiring a Data Engineer to build and operate data pipelines powering analytics, experimentation, forecasting, and business decisions. You will contribute to foundational data systems used by Data Science, BI, Product, Finance, and Advertising teams for high‑quality insights.

The role emphasizes hands-on data engineering, reliability, and collaboration with cross‑functional partners to translate requirements into scalable data solutions.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
• Experience with one or more scripting language (e.g., Python, KornShell).
• Knowledge of database, data warehouse, or data lake solutions.

Responsibilities

• Contribute to the design, development, testing, and deployment of data pipelines and datasets within a defined domain, including the data foundations for GenAI and agentic analytics, working alongside senior engineers
• Build and maintain ETL/ELT workflows using SQL, Python, and AWS services
• Support data infrastructure operations, including monitoring, alerting, and data quality controls
• Investigate and resolve data quality issues, escalating complex problems or architectural trade-offs when appropriate
• Partner with Data Science, Business Intelligence, Product, and Engineering stakeholders to understand requirements and implement reliable data solutions
• Contribute to conversational and self-service analytics data products
• Support compliance, privacy, retention, and governance requirements for data you own or contribute to
• Clearly document your solutions to ensure ease of use and maintainability by others
• Participate in code reviews, design discussions, and team planning
• Participate in on‑call and product support for business‑critical pipelines and datasets
• Build and curate datasets and documentation that AI assisted analytics tools consume
• Use AI-assisted development tools to accelerate how you build, test, and debug pipelines

Skills

1+ years data engineering experience

Data modeling

Warehousing

ETL pipelines

SQL

Query languages

Scripting (Python)

Database/data lake knowledge

Tools

AWS services

Job description

Amazon Seattle is hiring a Data Engineer to build and operate data pipelines powering analytics, experimentation, forecasting, and business decisions. You will contribute to foundational data systems used by Data Science, BI, Product, Finance, and Advertising teams for high‑quality insights.

The role emphasizes hands-on data engineering, reliability, and collaboration with cross‑functional partners to translate requirements into scalable data solutions.