Join Our Team

At DetailPage.com, we’re revolutionizing how brands grow on Amazon and beyond with our AI-powered content optimization and market insights solutions. We blend cutting-edge technology, data science, and human expertise to help businesses boost organic traffic, improve search rankings, and maximize conversions.

If you're passionate about innovation, problem-solving, and making a real impact in the e-commerce space, you’ll thrive in our fast-paced, collaborative, and remote-friendly environment. Join us and be part of a team that’s shaping the future of online retail!

Responsibilities

Design, develop, and maintain scalable data pipelines using a variety of AWS services

Work with relational databases such as Aurora (PostgreSQL) and Redshift for large-scale data management

Develop and optimize ETL/ELT processes to ensure smooth data integration from multiple sources

Build and maintain serverless applications using AWS services like Lambda, Fargate, and SQS

Collaborate with cross-functional teams to ensure data accessibility and integrity across different platforms

Use Python, SQL, and Pandas for data manipulation, analysis, and automation of workflows

Implement unit testing to ensure code reliability, using PyTest

Manage API integrations and development, using FastAPI

Assist with infrastructure as code (IaC) using CDK

Must Have Skills & Qualifications

Extensive Work Experience: 5+ years in Data Engineering with AWS and Python

Strong AWS Experience: Particularly with services like Aurora (PostgreSQL or MySQL), Redshift, Fargate, Lambda, SQS, and IAM. Experience using tools like Boto3 and AWS CLI

Linux Proficiency: Comfortable in a Linux environment, including things like shell scripting, common CLI tools, creating and testing Linux based Docker images

SQL Mastery: Expertise in complex SQL queries and database optimization

Advanced Python: Strong hands-on experience with Python, ideally with strong experience with Data Engineering tools, like Pandas, SQLAlchemy, Pandera

Boto3 Expertise: Solid understanding of AWS SDK for Python (Boto3), AWS CLI, and AWS automation tools

Git Proficiency: Comfortable with version control, branching, and collaboration using Git

ORM Skills: Ideally with SQLAlchemy, for database interactions

ETL/ELT Experience: Proven ability to build and optimize extract, transform, and load (ETL) processes

Unit Testing: Familiarity with unit testing practices, ideally using PyTest or similar tools

Preferred Skills & Qualifications

Airflow Expertise: Experience with Airflow, particularly AWS Managed Airflow, for scheduling and orchestrating data workflows

API Development: Ideally with FastAPI for building fast, scalable APIs

Infrastructure as Code (IaC): Experience with CDK or similar tools to automate cloud infrastructure provisioning

OpenAI: Some exposure to OpenAI, in particular automating GPT and using embedding vectors

Familiarity with caching tools like Redis

Basic DevOps knowledge for enhancing CI/CD pipelines and optimizing development workflows

Why Join Us?

This full-time, remote position offers a fast-paced, collaborative environment where you’ll have the opportunity to build scalable, cutting-edge data infrastructure that powers AI-driven insights for leading Amazon brands. You’ll work with a highly skilled team of engineers and data scientists, tackling complex challenges in data processing, automation, and analytics.

If you’re looking for a role where you can innovate, optimize large-scale data pipelines, and shape the future of e-commerce intelligence, we’d love to hear from you!

Please send your resume and a brief introduction to growth@detailpage.com. We look forward to hearing from you.

Senior Data Engineer

Join Our Team

Responsibilities

Must Have Skills & Qualifications

Preferred Skills & Qualifications

Why Join Us?