Senior Data Engineer: Big Data, Python & ML Infra | Remote

Logoslabs; San Francisco (CA); Hybrid; USD 130,000 - 175,000; Full time

Benefits offered by this job

Competitive compensation

Excellent benefits package

Flexible vacation and PTO

Employer-matched 401(k)

Job summary

ZipRecruiter is seeking senior data engineers to build fast, scalable data processing, ML infrastructure, and data platforms that power our AI-driven marketplace. You will develop both streaming and batch pipelines, instrument and deploy code, and work across a distributed system.

We value strong Python and big data experience, plus hands-on work with Spark, Kafka, Hadoop, and cloud technologies. The role supports hybrid remote work in the US with competitive compensation and benefits.

Qualifications

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

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

Big data

Algorithms

OO programming

Education

BS in Computer Science or related field

MS/PhD in related field

Tools

Docker

Kubernetes

Apache Kafka

Spark

Hadoop

Hive

Delta Lake

MongoDB

Cassandra

Apache Hudi

Apache Beam

Apache Flink

Google Cloud Dataflow

Amazon Kinesis

Azure Databricks

Job description

ZipRecruiter is seeking senior data engineers to build fast, scalable data processing, ML infrastructure, and data platforms that power our AI-driven marketplace. You will develop both streaming and batch pipelines, instrument and deploy code, and work across a distributed system.

We value strong Python and big data experience, plus hands-on work with Spark, Kafka, Hadoop, and cloud technologies. The role supports hybrid remote work in the US with competitive compensation and benefits.