Data Engineer - AWS, Big Data & Secure AI Pipelines

BREVIAN

Sunnyvale (CA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Generous compensation
Equity opportunities
Flexible time off

Job summary

A pioneering AI technology firm is seeking an experienced Data Engineer to enhance its scalable data systems. The position requires expertise in cloud technologies, particularly AWS, and solid experience in developing big data systems. With responsibilities that include designing high-availability data architecture and collaborating with a dynamic tech team, this role offers generous compensation and equity, providing a unique opportunity to become part of a well-funded startup at the forefront of AI innovation.

Qualifications

  • 4+ years of experience in working with data systems and data pipelines, preferably for enterprise-level applications.
  • Solid experience with big data systems, including Kafka, Apache Airflow, and building data pipelines.
  • Familiarity with data modeling, ETL processes, and data warehousing.

Responsibilities

  • Design, develop, and maintain scalable, high-availability data systems.
  • Work closely with the development team to integrate cloud services and solutions.
  • Implement and manage big data systems to support data-driven decision-making.

Skills

Data pipeline development
Big data systems expertise
Cloud technologies (AWS)
ETL processes
Data modeling

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Kafka
Apache Airflow
AWS services (ECS, S3, RDS)

Job description

A pioneering AI technology firm is seeking an experienced Data Engineer to enhance its scalable data systems. The position requires expertise in cloud technologies, particularly AWS, and solid experience in developing big data systems. With responsibilities that include designing high-availability data architecture and collaborating with a dynamic tech team, this role offers generous compensation and equity, providing a unique opportunity to become part of a well-funded startup at the forefront of AI innovation.
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