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Tech Stack
Tools & technologiesAWSAzureBigQueryCloudPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Health insurance
- Wellness programs
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant 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