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Tech Stack
Tools & technologiesAWSAzureBigQueryCloudJavaScriptPythonSQL
About the role
Key responsibilities & impact- Lead the design of scalable data solutions
- Mentor talented engineers
- Work on projects that truly make an impact
- Build and optimize data pipelines that power forecasting and analytics platforms
- Collaborate with product managers, front-end and back-end developers, and fellow data engineers
- Ensure adherence to architectural standards
- Coach junior team members
- Maintain consistent coding standards across global engineering pods
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
- Experience with JavaScript (legacy code support) preferred
- Familiarity with Snowflake or other modern data platforms preferred
- Exposure to AI/ML concepts and interest in applying them to data engineering preferred
- Healthcare industry experience is a plus
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Remote work options
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 warehousingBigQueryJavaScriptSnowflakeAI/ML conceptsdata pipelinesscalable data solutions
Soft Skills
mentoringcollaborationcommunicationcoachingadherence to standardsimpact-drivenleadershipproblem-solvingtechnical concept explanationteamwork
Certifications
Bachelor’s degree in Computer Science