Senior Data Engineer - Big Data & ML Infra (Remote)

ZipRecruiter; Los Angeles (CA); Hybrid; USD 130,000 - 175,000; Full time

Benefits offered by this job

Competitive compensation

Exceptional benefits package

Flexible Vacation & Paid Time Off

Employer-matched 401(k) plan

Job summary

ZipRecruiter is seeking a Senior Data Engineer to build scalable data processing and ML infrastructure that powers our intelligence. You will develop data pipelines and deploy cloud-based solutions in a distributed system.

Join a team working on fast, scalable services with modern data tech, including Spark, Kafka, and Kubernetes, to help connect millions of job seekers with opportunities.

Qualifications

• 2+ years of professional software development experience with Python and big data technologies.
• Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies.
• Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms.
• Experience with containerization technologies like Docker and/or Kubernetes.
• 4+ years of professional software development experience, with a focus on Python and big data technologies.

Responsibilities

• Build data processing and exploration pipelines along with ML infrastructure to power our intelligence.
• Deploy a range of cloud-based technologies for critical projects.
• Write, test, instrument, and deploy code to our Kubernetes environment.
• Help drive the innovation and evolution of ZipRecruiter.

Skills

Python

Spark

Kafka

Hadoop

Hive

CS fundamentals

Big data

Education

BS/MS/PhD in Mathematics, Computer Science, Physics or related field

Tools

Docker

Kubernetes

Job description

ZipRecruiter is seeking a Senior Data Engineer to build scalable data processing and ML infrastructure that powers our intelligence. You will develop data pipelines and deploy cloud-based solutions in a distributed system.

Join a team working on fast, scalable services with modern data tech, including Spark, Kafka, and Kubernetes, to help connect millions of job seekers with opportunities.