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Need Data Platform Engineer

Sunnyvale, CA, US • Posted 6 hours ago • Updated 4 hours ago

Contract W2

24 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Platform Engineer

Summary

Position: Data Platform Engineer

Location: Sunnyvale, CA (Onsite)

Duration: Long Term Contract

Job Description:

Overview
We are seeking a highly skilled Data Platform Engineer with strong expertise in building and scaling Machine Learning (ML) and Data Analytics platforms. The ideal candidate will also bring solid experience in Java backend engineering, enabling seamless integration of data systems with enterprise applications.
Key Responsibilities

Data Platform Development: Design, build, and maintain scalable data platforms to support analytics and ML workloads.
Machine Learning Infrastructure: Develop and optimize ML pipelines, model deployment frameworks, and monitoring systems.
Data Analytics Solutions: Implement data ingestion, transformation, and visualization pipelines to enable business insights.
Backend Engineering: Build robust APIs and services in Java to integrate data platforms with enterprise applications.
Cloud & DevOps: Deploy and manage solutions on cloud platforms (AWS, Azure, Google Cloud Platform) with CI/CD automation.
Collaboration: Work closely with data scientists, analysts, and product teams to deliver end-to-end solutions.

Required Skills

Strong expertise in Java backend development(Spring Boot, REST APIs, microservices).
Hands-on experience with data platforms(Spark, Hadoop, Kafka, Flink, or similar).
Proficiency in ML platforms(TensorFlow Serving, MLflow, Kubeflow, or similar).
Solid understanding of data analytics tools(Snowflake, BigQuery, Redshift, or equivalent).
Experience with cloud services(AWS/Google Cloud Platform/Azure) and containerization (Docker, Kubernetes).
Knowledge of SQL/NoSQL databasesand data modeling.
Strong problem-solving and communication skills.

Preferred Qualifications

Experience in real-time data processingand streaming architectures.
Familiarity with data governance, security, and compliance frameworks.
Exposure to MLOps practicesand automated model lifecycle management.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10124308
Position Id: 8974093
Posted 6 hours ago

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