Junior Data Engineer (Python)

Position Overview

This position reports to the Director of Engineering, DevOps & Data Engineering; it assists in the design, development, and maintenance of scalable data processing pipelines and supports data quality, testing, and team collaboration.

In this role, you will be joining a team of data engineers and data scientists. You’ll be responsible for assisting in designing, building, and maintaining scalable ETL/ELT pipelines using AWS services such as EMR, MWAA Airflow, ECS, AWS Lambda, AWS Glue, and Amazon Redshift. Day-to-day activities range from writing Python code, implementing data validations, collaborating with cross-functional teams to troubleshoot pipeline issues, and participating in testing, monitoring, and validation of data workflows.

This is a fully remote position, with occasional visits to our Manhattan workspace in NYC.

What you'll learn

An important part of our culture is continuing education and the sharing of ideas. We offer: 

• A large network of investors and advisors for you to access that will help your team succeed
• Mentorship from executives with decades of experience in adtech and media
• Regular internal knowledge-sharing sessions
• Education budget to accelerate your team’s development

Specifically, in this role, you will learn:

• Fundamentals of maintaining data infrastructure and ETL pipelines
• Best practices for working with cloud platforms (with a focus on AWS) and related big data technologies
• How to collaborate effectively across teams to meet stakeholder needs
• Insight into how major brands measure media quality and user engagement at scale

Core Responsibilities

• Assist in designing, building, and maintaining scalable data processing pipelines (ETL/ELT) using AWS services such as EMR, MWAA Airflow, ECS, AWS Lambda, AWS Glue, and Amazon Redshift.
• Work closely with cross-functional teams to support new features, improvements, and troubleshooting of existing data workflows.
• Participate in testing, monitoring, and validation to ensure the quality and reliability of data pipelines.
• Document data pipeline processes and share knowledge within the team.

Benefits 

Health & Wellness

• Medical, dental, and vision insurance
• Paid time off
• Parental leave
• Wellness & Development Stipend
• Holiday break
• Volunteer time off

Financial & Compensation

• Competitive salary
• Stock options
• 401k Retirement Plan

Workplace & Equipment

• Remote-first environment
• New York office
• Access to WeWork spaces available

Equal Employment Opportunity (EEO) Statement

Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences.