Data Engineer

Overview

On Site
$80 - $95
Full Time
No Travel Required

Skills

Data Engineering
Data Processing
Machine Learning (ML)
Data Validation
Python

Job Details

A globally leading technology company is looking for an experienced Data Engineer to support large-scale data operations for machine learning workflows. In this role, you will collaborate closely with external data vendors and internal teams to ingest, validate, curate, and organize high-quality datasets that enable downstream ML model development.

The ideal candidate will have a strong background in Python and hands-on experience working with AWS S3-based data pipelines. If you're passionate about data infrastructure and want to help power the next generation of AI models, we invite you to apply!
Job Responsibilities:
Collaborate with external data collection vendors to track and ingest incoming datasets.
Design and execute robust data validation and curation pipelines to ensure data quality and consistency.
Implement logic to bin and categorize data according to project-specific criteria.
Run pseudo-labeling workflows on newly ingested data using pre-trained ML models.
Maintain clear status and versioning of datasets throughout their lifecycle.
Distribute and deliver validated data assets to various internal product and ML teams.
Maintain logs and reports to ensure traceability and accountability across data operations.
Candidate Requirements:
5+ years of industry experience in data engineering, data pipelines, or ML infrastructure.
Strong proficiency in Python, including data processing and scripting.
Experience working with AWS S3 for managing and organizing large-scale datasets.
Familiarity with data quality assurance and curation processes.
Comfortable operating in Unix/Linux environments, with familiarity in using command-line tools.
Strong communication and coordination skills, especially when collaborating with external vendors and distributed teams.
Self-driven, organized, and able to handle multiple data workflows in parallel.
Nice to Have:
Experience with ML pipelines, especially pseudo-labeling or active learning.
Familiarity with data versioning tools or frameworks (e.g., DVC, LakeFS).
Prior experience in managing vendor relationships or annotation workflows.
Speak multiple languages.

Type: Contract
Duration: 12 months (with a possibility to extend)
Work Location: Sunnyvale, CA (100% on-site)
Pay Range: $ 82.00 - $ 97.00 (DOE)

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.

About OSI Engineering, Inc.