Live opening · Posted 2 days ago

GCP Data Engineer

Aumnitech · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyAumnitech
LocationUnited States (Remote)
Work modeYes
SkillsGCP, Python
SourceLinkedin
ListedPosted 2 days ago

About the role

Description supplied by the original job listing.

🚀 We're Hiring: GCP Data Engineer (Python/PySpark) Only #W2
USC/GC Only
📍 Location: 100% Remote — EST preferred, CST acceptable (PST not considered)
📅 Duration: 6-month Contract-to-Hire
💼 Employment Type: W2 through Apolis
⏳ Start Date: ASAP — candidates should be available to start within 2–3 weeks of offer
🔑 Must-Have Requirements
3+ years of hands-on GCP Data Engineering experience
Strong hands-on experience with:
Google Cloud Dataproc
Google BigQuery
Cloud Composer
Strong proficiency in Python and PySpark
Experience developing ETL pipelines and processing large datasets
Experience building Python-based API integrations
Mandatory healthcare or insurance industry experience
Excellent communication, analytical thinking, and problem-solving skills
🛠️ Role Overview
Join CVS Health's Aetna Technology team to support the Provider Roster Bulk Upload initiative. The project involves migrating large volumes of provider data into Google Cloud Platform (GCP) and building scalable data processing solutions.
The selected candidate will transform and validate incoming provider data, develop efficient ETL pipelines, integrate APIs, and deliver high-quality datasets to downstream systems.
📌 Key Responsibilities
Design, develop, and maintain ETL pipelines on GCP
Process and transform large-scale datasets using PySpark
Leverage Dataproc, BigQuery, and Cloud Composer
Develop Python-based API integrations
Support data migration and modernization initiatives
Collaborate with upstream and downstream data engineering teams
Ensure data quality, validation, and reliable pipeline execution
🎯 Interview Preparation
Candidates should be ready to explain their individual technical contributions and demonstrate practical knowledge of Python, PySpark, and GCP.
Sample topics may include:
Removing duplicate records in PySpark while retaining the latest record
Grouping and transforming large datasets
ETL design decisions and data processing strategies
⚠️ Important Eligibility Criteria
W2 engagement through Apolis is mandatory.
Healthcare or insurance experience is required.
EST is preferred; CST is acceptable. PST candidates will not be considered.
Candidates must be available to start within 2–3 weeks of offer.
📩 Interested candidates: Please DM me or share your updated resume, current location, work authorization, and availability.aniket.kumar@aumnitech.com
#Hiring #GCPDataEngineer #GoogleCloud #Python #PySpark #BigQuery #Dataproc #CloudComposer #DataEngineering #HealthcareIT #InsuranceTechnology #RemoteJobs #ContractToHire

Work arrangement
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