Lead Data Engineer

Lead Data EngineerFast-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.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, and 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, Aperiam Ventures, WGI, and Irwin Gotlieb.We have a NYC office and a London WeWork, but operates as a remote-friendly company with flexible work options.Position OverviewThis 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/yrCore ResponsibilitiesStructure a sophisticated network and pipeline of data across internal and external sourcesMaintain a high degree of uptime for our SaaS analytics dashboard and connected platformsWork with other team members to design, build, deploy, and maintain reliable data pipelinesMaintain and optimize existing data pipelines and integrationsOptimize our data stores for fast, efficient querying to support technology and reporting needsEnsure the quality, reliability, and security of our data infrastructureWhat You'll BringBachelor's degree in Computer ScienceProficiency in Python, Redshift, Postgres, SQL, Spark, Scala, and AirflowExperience with the Pandas library and DockerFamiliarity with AWS technologies such as ECS, S3, Kinesis, Redshift, and EMRStrong understanding of data structures and algorithmsExperience with machine learningPassion for delivering high-quality, reliable data solutionsWhat Will Set You Apart - OptionalExperience in ad tech, measurement, or verificationExperience with high-throughput or near-real-time data pipelinesExperience with Snowflake or LookerBenefitsHealth & WellnessMedical, dental, and vision insurancePaid time offParental leaveEmployee development & wellness stipendHoliday breakVolunteer time offFinancial & CompensationCompetitive salaryPerformance-based quarterly bonusStock options401(k) retirement planWorkplace & EquipmentRemote-first environmentNew York office accessAccess to available WeWork spacesEqual Employment Opportunity (EEO) StatementAdelaide 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