Lead Data Engineer

Adelaide

. Lead the data engineering team and own the pipelines that power Adelaide's AU metric .

Posted 10/6/2026full-timeRemote • New York • United StatesSenior💰 $88,525 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, optimizing, and maintaining data pipelines and infrastructure, ensuring high reliability and performance. Proficient in leading data engineering teams and delivering high-quality data solutions using advanced technologies.

Highest-signal resume keywords

Data Pipeline DesignPython ProficiencyAWS TechnologiesData Infrastructure OptimizationMachine Learning Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLSparkScalaRedshiftPostgresAirflowPandasDockerData Structures

Soft Skills

LeadershipReliability FocusProblem-Solving

Tools & Technologies

AWS ECSAWS S3AWS KinesisAWS EMRSnowflakeLooker

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Ad TechMeasurementVerificationHigh-Throughput Data PipelinesNear-Real-Time Data Pipelines

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSDockerPandasPostgresPythonScalaSparkSQL

About the role

Key responsibilities & impact

Lead the data engineering team and own the pipelines that power Adelaide's AU metric
Design, ensure reliability of, and optimize Adelaide's data pipelines and data infrastructure
Supervise one Data Engineer
Structure and maintain data flowing from internal and external sources into the SaaS analytics dashboard and connected platforms
Maintain high uptime for the SaaS analytics dashboard and connected platforms
Design, build, deploy, and maintain reliable data pipelines with data engineers and data scientists
Maintain and optimize existing data pipelines and integrations
Optimize data stores for fast, efficient querying to support technology and reporting needs
Ensure the quality, reliability, and security of the data infrastructure

Requirements

What you’ll need

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
Experience in ad tech, measurement, or verification (optional)
Experience with high-throughput or near-real-time data pipelines (optional)
Experience with Snowflake or Looker (optional)

Benefits

Comp & perks

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
Medical, dental, and vision insurance
Paid time off
Parental leave
Employee development & wellness stipend
Holiday break
Volunteer time off
Performance-based quarterly bonus
Stock options
401(k) retirement plan
Remote-first environment
New York office access
Access to available WeWork spaces