Amazon.com Services LLC

Financial Services

DataEngineerII

$100–179k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer II at Amazon.com Services LLC. Skills: Data Engineering, ETL Pipelines, Financial Data, GenAI Automation. Own end-to-end data solutions. Design data pipelines”

What You'll Achieve.

Ensure data is accurate; Ensure data is timely; Ensure data is scalable

Industry & Context.

Financial Services
Problems you'll solve

Solve complex problems; Root cause analysis

What They're Looking For.

Must Have

3+ years data engineering experience, Experience with data modeling, Experience building ETL pipelines, Experience with SQL, Experience with Python, Experience with Java, Experience with Scala, Experience with NodeJS, Experience with Hadoop, Experience with Hive, Experience with Spark, Experience with EMR, Knowledge of software engineering best practices, Bachelor's degree

Nice to Have

Experience with non-relational databases, Experience with AWS Redshift, Experience with AWS S3, Experience with AWS Glue, Experience with AWS EMR, Experience with AWS Kinesis, Experience with AWS FireHose, Experience with AWS Lambda, Experience with AWS IAM roles, Experience with AI/ML, Experience with GenAI, Experience with Analytics, Experience with Databases, Experience with Storage, Master's degree

What You'll Do.

Own end-to-end data solutions

Design data pipelines

Orchestrate data pipelines

Build data quality frameworks

Provide self-service analytics

Solve revenue attribution problems

Optimize system performance

Partner with Financial Analysts

Partner with BI teams

Partner with Accounting

Partner with Ads leadership

Translate requirements

Recommend architecture improvements

Present solutions to stakeholders

Coordinate across teams

Write clear documentation

Maintain data governance

Identify process improvements

Drive metrics enhancements

Optimize manual workflows

Automate manual workflows

Contribute to data engineering standards

Contribute to best practices

Participate in scoping needs

Prioritize data engineering needs

Build orchestration platforms

Build self-service analytics tools

How You'll Work.

Team & Collaboration

Partnering with teams; Coordinate across teams; Working with stakeholders

Communication Scope

Present solutions; Write documentation

Process & Methodology

Scoping needs, Prioritizing needs

Full Job Description

We are hiring a Data Engineer II to help build the next generation of our financial data and analytics platform. In this role, you will own end-to-end data solutions, from pipeline design and orchestration to data quality frameworks, GenAI-enabled automation, and self-service analytics with limited guidance. You will solve complex problems around revenue attribution, financial data modeling, and system performance while partnering with Financial Analysts, BI teams, Accounting, and Ads leadership to translate requirements into well-architected deliverables. You will recommend architecture improvements, present solutions to stakeholders, and coordinate across teams, writing clear documentation, negotiating priorities, and maintaining appropriate data governance to ensure the data reaching leadership is accurate, timely, and scalable. Beyond technical delivery, you will mentor team members on data infrastructure, pipeline architecture, and Ads-specific data models. You will identify and drive process improvements including metrics enhancements, optimization and automation of manual workflows, and contributions to data engineering standards and best practices. You will participate in scoping and prioritizing data engineering needs during critical financial planning process. Innovation is key on this team as we are building AI agents, event-driven orchestration platforms, and self-service analytics tools that are changing how Finance teams interact with data. About the team The Ads Central FP&A Data and Analytics team owns the data infrastructure that powers financial reporting for Amazon's Advertising business across all products and geographies. We build scalable data and technology solutions that provide leadership with clear visibility into the financial metrics that drive business decisions. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at

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