Join a team of talented Data Engineers working closely with Data Scientists to build out the next generation Ad EnGage data pipeline.
Measure and optimize the effectiveness of advertising by combining and analyzing dozens of sources of advertising occurrence data, advertising outcome data, identity resolution data, and various other types of data.
Work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on AWS, Airflow, DBT, and Snowflake.
Deliver insights to clients to make critical business decisions about their advertising strategy.

Requirements

A minimum of 5 years of data engineering experience and three years of hands-on experience with cloud data platforms (preferably Snowflake or Redshift).
Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT).
Production experience building and operating complex and scalable data pipelines that optimize on data quality and are resilient to poor quality data sources.
Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
Strong expertise in SQL, including query optimization/performance tuning, data modeling, schema design, and scalable data architecture.
Proficiency in at least one scripting language, with Python preferred.
Ability to work independently on loosely defined projects—gathering requirements and making architectural decisions that balance engineering constraints with business needs, while driving projects through to completion and production.

Benefits

Mid-stage equity and competitive salary
Flexible Time Off
Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
401(k) plan, FSA, HSA
Commuter Benefits
When in an office, employee meals, snacks, and more

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringcloud data platformsdata warehousingETLdata pipelineSQLscripting languagedata modelingschema designdata architecture

Soft Skills

independent workrequirement gatheringarchitectural decision makingproject management