Data Engineer
Experience: 2-4 years (4+ preferred)
Education: Bachelor's degree in quantitative or business field (e.g., statistics, mathematics, engineering, computer science) or equivalent.
Bonus: 8% eligible. No relocation or sponsorship.
Key Responsibilities:
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Develop and maintain data pipelines using Golang and ETL processes.
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Process and manage big data for improved health outcomes.
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Collaborate on technology solutions impacting millions of members.
Required Technical Skills:
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Proficiency in Golang.
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Hands-on ETL experience.
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Experience with big data processing.
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SQL skills preferred.
Behavioral Skills:
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Strong quantitative and analytical mindset.
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Ability to apply knowledge to real-world duties independently.
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Focus on innovation and efficiency in data handling.
