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About the Role
Job Title: Big Data Engineer In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
What You'll Do
Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions.
Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.
Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.
Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability.
Monitor, troubleshoot, and enhance data systems to ensure high availability and performance.
Enforce data quality, security, and governance standards across all solutions.
Document solutions and communicate complex technical concepts effectively, both in writing and verbally.
Required Skills and Qualifications:
You're a Good Fit If You
Required skills: big data, Python, databases, data engineering
Prior experience in fast-paced or startup-like environments supporting global teams.
Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure).
Familiarity with machine learning operations and data science workflows is a plus.
Engaged directly through micro1. Apply via the link below - micro1 handles onboarding and payment.
Common Questions
micro1 has a reliability rating of reliable based on the listings we track, with an onboarding time of 1-3 days. See our full micro1 review for the details behind that rating.
Applying takes you to micro1's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
$30-$80/h - Engaged directly through micro1. Apply via the link below - micro1 handles onboarding and payment.
Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions. Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives. Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.
