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Adelaide

Lead Data Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
89K-89K Annually
Entry level
Remote
Hiring Remotely in United States
89K-89K Annually
Entry level
Leads a data engineering team and supervises one Data Engineer while designing, maintaining, and optimizing reliable data pipelines and infrastructure. The role integrates internal and external data sources, supports SaaS analytics dashboards and connected platforms, improves data-store performance, and ensures infrastructure quality, security, and uptime. Requires proficiency in Python, databases, distributed processing, orchestration, AWS, and machine learning.
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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 


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.
#LI-DNI

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