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Google Cloud Platform Data Engineer

Chantilly, VA, US • Posted 6 hours ago • Updated 6 hours ago

Contract W2

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Git
Jenkins
Kubernetes
Terraform
Google Cloud
Apache Spark
Cloud Storage
Data Migration
Docker
Problem Solving
Data Warehousing
Data Pipelines
BigQuery
Operational Data Store
Data Validation
Information Engineering
SQL Stored Procedures
Continuous Integration
Communication Skills
Software Exception Handling
Extract Transform Load (ETL)
Python (Programming Language)
SQL Databases
Airflow
Data Lakes
Data Modelling
Data Processing
Software Engineering
Looker Analytics
Health Care
Health Insurance Portability and Accountability Act Compliance
Data Streaming
Insurance Claim Processing
Access Controls
Gitlab-ci
Database Development
Software Troubleshooting
Cloudera
Programme Process Monitoring
Distributed Computing Environment
Apache Beam
Data Flow Control
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Git
Jenkins
Kubernetes
Terraform
Google Cloud
Apache Spark
Cloud Storage
Data Migration
Docker
Problem Solving
Data Warehousing
Data Pipelines
BigQuery
Operational Data Store
Data Validation
Information Engineering
SQL Stored Procedures
Continuous Integration
Communication Skills
Software Exception Handling
Extract Transform Load (ETL)
Python (Programming Language)
SQL Databases
Airflow
Data Lakes
Data Modelling
Data Processing
Software Engineering
Looker Analytics
Health Care
Health Insurance Portability and Accountability Act Compliance
Data Streaming
Insurance Claim Processing
Access Controls
Gitlab-ci
Database Development
Software Troubleshooting
Cloudera
Programme Process Monitoring
Distributed Computing Environment
Apache Beam
Data Flow Control
Publish Subscribe

Summary

#W2 role

Role: Senior Google Cloud Platform Data Engineer
Location:Remote
Experience: 8+ years

Job Description

Our client is looking for an experienced Google Cloud Platform Data Engineer to build and support cloud-based data solutions for healthcare, pharmacy, claims, member, and operational data.

This is a hands-on development role. The engineer will work with architects, analysts, product owners, and other engineering teams to build reliable batch and real-time data pipelines on Google Cloud Platform.

Responsibilities

Design, develop, and maintain scalable data pipelines using Google Cloud Platform services.
Build batch and streaming solutions using Dataflow, Pub/Sub, BigQuery, Cloud Storage, Dataproc, and Cloud Composer.
Develop data-processing applications using Python, SQL, Spark, and Apache Beam.
Create BigQuery tables, views, stored procedures, and data models.
Apply partitioning and clustering strategies to improve BigQuery performance and cost.
Ingest and transform healthcare, pharmacy, claims, member, provider, and operational data.
Build data validation, reconciliation, error-handling, and monitoring processes.
Troubleshoot pipeline failures, data-quality issues, and performance problems.
Support data migration from legacy and on-premises platforms to Google Cloud Platform.
Protect PHI, PII, and other sensitive information using appropriate security and access controls.
Develop automated build and deployment pipelines using Git, Jenkins or GitLab CI/CD, and Terraform.
Participate in code reviews, production releases, and operational support.

Required Qualifications

8+ years of data engineering or software development experience.
4+ years of hands-on experience with Google Cloud Platform data services.
Strong experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Cloud Composer.
Advanced Python and SQL development skills.
Experience with Spark, Apache Beam, and Airflow.
Strong understanding of ETL/ELT, data warehousing, data lakes, and distributed data processing.
Experience building both batch and streaming data pipelines.
Experience with Docker, Kubernetes, Terraform, Git, and CI/CD.
Strong troubleshooting and communication skills.

Preferred Qualifications

Healthcare, pharmacy, PBM, claims, or health insurance experience.
Understanding of HIPAA, PHI, and PII requirements.
Experience with dbt, Dataplex, Data Catalog, Cloud Run, Cloud Functions, or Looker.
Google Professional Data Engineer certification.

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: 91134888
Position Id: 2026-3070
Posted 6 hours ago

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