Big Data Engineer II

Amazon Web Services, Inc.

Dallas (TX)

On-site

USD 132,000 - 179,000

Full time

14 days+

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Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Sign-on payments

Restricted stock units (RSUs)

Job summary

Amazon Web Services, Inc. in Dallas, TX is seeking a Big Data Engineer II to architect data solutions for AWS revenue data products, building scalable data pipelines and AI-driven automation while mentoring colleagues.

The role is based onsite in Dallas, TX with a compensation range of USD 132,100 - 178,800 per year. The candidate will design and implement end-to-end data pipelines, transform diverse upstream data into actionable insights for quota management, forecasting, and compensation

Qualifications

3+ years of data engineering experience.
3+ years building/operating large-scale BI data structures with ETL/ELT processes.
3+ years developing/operating large-scale BI data structures with SQL.
Bachelor's degree or equivalent professional experience in a related field.
Experience with at least one OO language such as JavaScript, Python, or C#.

Responsibilities

Architect and implement end-to-end data pipelines for revenue data products.
Lead and mentor a team of Data Engineers to deliver cross-functional solutions.
Develop AI-enabled solutions to automate manual tasks and accelerate insights.
Design dimensional data models and self-service analytics across Finance, Sales Operations, and Analytics teams.

Skills

Data engineering

ETL/ELT

SQL

Education

Bachelor's degree or higher in Computer Science / Computer Engineering / Data Science / Electrical Engineering (or 3+ years professional software development)

Tools

JavaScript

Python

SQL

Redshift

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

Hadoop

Hive

Spark

Job description

This Big Data Engineer II role at Amazon Web Services, Inc. is based onsite in Dallas, TX. The engineer will architect Big Data solutions for AWS revenue data products, building scalable data pipelines and AI driven automation while mentoring colleagues and translating business requirements into technical solutions. The position offers a salary range of USD 132,100 - 178,800 per year.

Responsibilities

Advance the Revenue technology stack to support AWS growth while adhering to security policies, architectural standards, and operational best practices
Design and implement end-to-end data pipelines that transform diverse upstream raw data into actionable insights for quota management, forecasting, and compensation decisions
Develop frameworks, tools, and AI-enabled solutions that automate manual tasks, reduce operational overhead, and accelerate time-to-insight for Revenue customers
Create and maintain dimensional data models and data structures that enable self-service analytics and adapt to evolving reporting needs across Finance, Sales Operations, and Analytics teams
Lead and mentor a team of Data Engineers to deliver cross-functional solutions, foster technical growth, and uphold engineering excellence standards
Architect and optimize Revenue data infrastructure, ensuring security, cost efficiency, and scalability while processing billions of daily transactions from 20+ data sources
Collaborate with product managers, stakeholders, and customers to translate business requirements into technical solutions

Requirements

Over three years of data engineering experience
More than three years building and operating large-scale BI data structures using ETL/ELT processes
More than three years developing and operating large-scale BI data structures using SQL
Bachelor's degree or higher in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related fields, or at least three years of professional software development experience
Experience with at least one object-oriented programming language such as JavaScript, Python, or C#

Technologies