Senior Data Engineer - ML Data Pipelines

Socket.dev; Pleasanton (CA); Hybrid; USD 176,000 - 264,000; Full time

Job summary

Workday is seeking a Senior Software Engineer/Software Engineer III focused on Data Engineering. You will contribute to data ingestion, governance, and derivation for ML initiatives, working hands‑on with Python, Spark, Kafka, and cloud infra (AWS/GCP).

The role emphasizes CI/CD, testing, and production support in an agile team. You will collaborate to deliver data solutions, surface data for ML products, and help scale services across the enterprise while maintaining high standards for

Qualifications

• 7+ years of experience in Software Engineering, Distributed Systems or a related field.
• 4+ years proficiency in at least two of the following programming languages: Java, Scala, Python
• 4+ years in data engineering or related field(s)
• Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
• Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Apache Avro, Apache Kafka, Apache Flink

Responsibilities

• Contribute to the ingestion, discoverability, governance, derivation, and serving of data for ML initiatives.
• Hands-on work with technologies like Python, Spark, AWS Infra, Kafka, Terraform/Kubernetes, and Iceberg.
• Collaborate in an agile environment to build scalable data solutions and production‑grade services.

Skills

Java

Python

Scala

Apache Spark

Apache Iceberg

Apache Kafka

Apache Avro

Apache Flink

AWS

GCP

CI/CD

Docker

Kubernetes

Terraform

Education

Bachelor's degree in Computer Science/Computer Engineering or equivalent experience

Tools

Jenkins

Docker

Kubernetes

Terraform

Job description

Workday is seeking a Senior Software Engineer/Software Engineer III focused on Data Engineering. You will contribute to data ingestion, governance, and derivation for ML initiatives, working hands‑on with Python, Spark, Kafka, and cloud infra (AWS/GCP).

The role emphasizes CI/CD, testing, and production support in an agile team. You will collaborate to deliver data solutions, surface data for ML products, and help scale services across the enterprise while maintaining high standards for