Join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline.
Measure and optimize the effectiveness of advertising by combining and analyzing a wide range of datasets.
Work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake.
Contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.

Requirements

3-6 years of experience as a Data Engineer.
Hands-on experience with cloud data platforms (Snowflake or Redshift preferred).
Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred).
Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt.
Strong SQL skills, including query optimization, data modeling, and working with large datasets.
Proficiency in at least one scripting language, preferably Python.
Hands-on experience with large-scale, complex data pipelines operating at billions to trillions of rows of data.
Ability to work independently on well-scoped projects, collaborate with cross-functional partners, and deliver production-ready solutions.

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 engineeringETLELTSQLdata modelingquery optimizationPythondata warehousingcloud infrastructurelarge-scale data pipelines

Soft Skills

independent workcollaborationproject managementproblem-solvingcommunication