Lead Data Engineer

TL;DR
Fast-growing measurement company looking for a hands-on Lead Data Engineer to lead our data engineering team and own the pipelines that power Adelaide's AU metric.

Who we are

Adelaide is the leader in one of the fastest-growing areas of advertising: attention measurement and activation.

Since 2020, we've become the trusted media quality measurement partner for 40% of Fortune 50 brands who rely on our award-winning AU metric to plan smarter campaigns, invest in high-quality inventory, and dive stronger business outcomes. Adweek has called Adelaide's AU "the attention economy's most widely recognized metric," and AdExchanger named it "Best measurement/Analytics Capability."

Our business continues to scale rapidly, outperforming the industry with a 35% three-year CAGR. What began as a 9-person startup in 2019 is now a team of more than 75.

The past year brought meaningful expansion. We launched the AU ecosystem, giving brands, media agencies, and publishers a unified way to leverage and transact on AU. We broadened our programmatic footprint with custom bidding in GoogleDV360 and pre-bid targeting in The Trade Desk, and grew our partner roster to over 125 platforms and publishers. Leading brands like Dell, Diageo, an Jaguar Land Rover—along with premium publishers such as Hearst, Spotify, and The New York Times—continue to demonstrate AU's value across the media lifecycle.

Adelaide is backed by prominent investors such as Human Ventures (Joe Marchese), Aperiam Ventures (Joe Zawadzki & Eric Franchi), WGI (Jonah Goodhart), and Irwin Gotlieb.

We have a NYC office and a London WeWork, but operates as a remote-friendly company with flexible work options.

How we work
We're a team of action-oriented doers—management rolls up their sleeves and contributes every day. Our culture is rooted in curiosity and rigor: opinions are held lightly, debated openly, and strengthened through testing. Everyone is encouraged to play a role in shaping planning and strategy.

We're built on belonging and growth—94% of employees report a strong sense of belonging, and 87% say they’re happy at work.

Position overview
This position reports to the Director of Engineering, DevOps & Data Engineering and is responsible for the design, reliability, and performance of Adelaide's data pipelines and data infrastructure. The role supervises one Data Engineer.

In this role, you'll work with a team of data engineers and data scientists to structure and maintain the network of data that flows from internal and external sources into our SaaS analytics dashboard and connected platforms.

This role is based in New York, NY, with flexible work options.

Base salary: $88,525/yr

What you'll learn
An important part of our culture is continuous learning and the open sharing of ideas. We offer:

Access to a broad network of investors and advisors who can help you and your team succeed
Mentorship from executives with decades of experience in adtech and media
Regular internal knowledge-sharing sessions
An education budget to support ongoing professional growth and development

Core responsibilities

• Structure a sophisticated network and pipeline of data across internal and external sources
• Maintain a high degree of uptime for our SaaS analytics dashboard and connected platforms
• Work with other team members to design, build, deploy, and maintain reliable data pipelines
• Maintain and optimize existing data pipelines and integrations
• Optimize our data stores for fast, efficient querying to support technology and reporting needs
• Ensure the quality, reliability, and security of our data infrastructure

What you'll bring

• Bachelor's degree in Computer Science
• Proficiency in Python, Redshift, Postgres, SQL, Spark, Scala, and Airflow
• Experience with the Pandas library and Docker
• Familiarity with AWS technologies such as ECS, S3, Kinesis, Redshift, and EMR
• Strong understanding of data structures and algorithms
• Experience with machine learning
• Passion for delivering high-quality, reliable data solutions
• What will set you apart - OPTIONAL
• Experience in ad tech, measurement, or verification
• Experience with high-throughput or near-real-time data pipelines
• Experience with Snowflake or Looker

Benefits
Health & Wellness

Medical, dental, and vision insurance
Paid time off
Parental leave
Employee development & wellness stipend
Holiday break
Volunteer time off
Financial & Compensation

Competitive salary
Performance-based quarterly bonus
Stock options
401(k) retirement plan
Workplace & Equipment

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