Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting
Work across the application stack, focusing primarily on backend data engineering
Ensure code quality through reviews, testing, and adherence to best practices
Collaborate with global engineering pods to maintain consistent coding standards
Mentor and guide junior engineers and contractors, fostering technical growth
Partner with product managers and peers to translate business requirements into scalable solutions

Requirements

Bachelor's degree in Computer Science or related field
5+ years of experience in data engineering, including at least 2-3 years in a senior-level role
Proficiency in Python and SQL
Hands-on experience with cloud platforms: Google Cloud and AWS preferred; Azure acceptable
Strong understanding of data warehousing concepts; experience with BigQuery or similar technologies
Ability to communicate complex technical concepts clearly to peers and stakeholders.

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

data engineeringPythonSQLdata warehousingBigQuerycloud platformsGoogle CloudAWSAzurecode quality

Soft Skills

communicationmentoringcollaborationtechnical growthproblem-solving

Certifications

Bachelor's degree in Computer Science