Summary
Senior Data Infrastructure Engineer role at Evolv Technology focusing on building and operating scalable, secure, and reliable data pipelines that power AI/ML research and production systems within the Machine Learning & Sensors organization.
Key Responsibilities: Design, build, and operate data infrastructure and pipelines that support machine learning research and production systems. Ensure data reliability, security, and scalability across the organization's data ecosystem.
Skills & Tools: Expertise in data pipeline architecture, cloud infrastructure, distributed systems, and data engineering best practices. Strong proficiency in programming languages such as Python or Scala, and familiarity with data tools and frameworks like Spark, Kafka, or equivalent technologies.
Qualifications: 5+ years of experience in data engineering or infrastructure roles, with demonstrated expertise in building scalable data systems. Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience.
Location: Not specified
Compensation: Not provided by employer. Typical compensation for this role is $180,000 – $240,000/year based on senior-level title, data infrastructure specialization, and technology company context.
Job Description
The Elevator PitchJoin Evolv as Senior Data Infrastructure Engineer in the Machine Learning & Sensors organization, responsible for building and operating the scalable, secure, and reliable data pipelines that power our AI/ML research and produ...