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Data Engineer (Spark / Google Cloud Platform – Data Migration)

Hybrid in Charlotte, NC, US • Posted 4 hours ago • Updated 4 hours ago

Contract Corp To Corp

Contract W2

Contract Independent

No Travel Required

Hybrid

$00 - $00/hr

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Apache Spark
Spark
Python
GCP
BigQuery
Data Migration
Data Pipelines
Cloud Storage
ETL

Summary

Data migration and pipeline development in a hybrid environment (Google Cloud Platform + private cloud). Support ML workloads.

Required Skills

Strong Spark + Python (mandatory)
Experience with data migration (on-prem → cloud)
Hands-on with:

Data pipelines (batch/streaming)
Data transformation and processing

Google Cloud Platform experience:

BigQuery
Cloud Storage

Experience with schema handling, data quality, and validation

Nice to Have

Experience in hybrid environments (Google Cloud Platform + private cloud)
Dataplex or data governance tools
Feature engineering / ML data support
Experience working with ML/AI teams

Key Responsibilities

Migrate data from on-prem systems (HDFS, NFS, SQL Server, etc.) to Google Cloud Platform
Build and optimize data pipelines using Spark and Python
Ensure data availability for ML training and inference workflows
Maintain data quality, consistency, and schema compatibility
Collaborate with ML Engineers and MLOps teams

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: 10375704
Position Id: 8949179
Posted 4 hours ago

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Data Engineer (Spark / Google Cloud Platform – Data Migration)

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