Data Engineer I - Fire TV

Description

Fire TV, Advertising and Appstore is reshaping the way millions of people discover, engage with, and enjoy entertainment every day. The FAA Decision Science organization is looking for a Data Engineer who is excited to build the data infrastructure powering analytics, experimentation, forecasting, and business decision-making for one of Amazon's fastest-growing product families.

This is an excellent opportunity for an engineer who is early in their career and eager to develop strong data engineering fundamentals in a high-impact environment. You will contribute to foundational data systems used by Data Science, Business Intelligence, Product, Finance, Advertising, and Engineering teams to make high-quality business decisions.

You will build and operate data pipelines, data models, and data quality mechanisms supporting Fire TV engagement, lifecycle analytics, Ads monetization, Appstore performance, executive reporting, experimentation, and AI-enabled analytics. The ideal candidate has solid technical foundations, a willingness to learn, an eye for operational reliability, and the ability to work effectively with cross-functional teammates to translate requirements into working data solutions.

Key job 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

Basic 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

Preferred Qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with privacy, compliance, retention, or data governance programs
- Experience using AI to accelerate development work

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.