Overview
Remote
Full Time
Contract - W2
Contract - 14 day((s))
Skills
etl
GCP
Job Details
Job Title: Principal Google Cloud Platform Data Engineer
Location: 100% Remote (U.S. Based Only)
Contract Type: Contract-to-Hire
Conversion Timeline: 4 6 months
Work Schedule Perks: Flexible hours (Option for 4x10s or 4x9s + half-day Fridays during summer)
Location: 100% Remote (U.S. Based Only)
Contract Type: Contract-to-Hire
Conversion Timeline: 4 6 months
Work Schedule Perks: Flexible hours (Option for 4x10s or 4x9s + half-day Fridays during summer)
Position Summary:
We're seeking a Principal Google Cloud Platform Data Engineer to lead efforts in building modern data solutions from scratch - including the migration to Google Cloud Platform (Google Cloud Platform), creation of data pipelines using SnapLogic, and orchestration via Airflow/Cloud Composer. You'll join a dynamic, forward-thinking team focused on sunsetting legacy platforms (like Redshift and Datastage) and transforming how enterprise healthcare data is ingested, processed, and used.
This role requires a hands-on builder, not a maintainer - someone who can design and develop scalable pipelines and actively contribute to architectural discussions.
Key Responsibilities:
- Design and build data ingestion & ETL pipelines from scratch using tools like SnapLogic, Python, SQL, and Dataflow.
- Lead data warehouse migration efforts to Google BigQuery from Redshift and other legacy systems.
- Build and manage orchestration workflows using Airflow or Cloud Composer, including the development of custom DAGs.
- Collaborate cross-functionally with data modelers, BI/reporting teams, and stakeholders to support end-to-end data delivery.
- Support data modeling activities and ensure strong understanding of data warehousing fundamentals.
- Participate in architectural planning, tool evaluation, and POC development for emerging technologies.
- Be a proactive communicator, providing input, solving problems, and contributing ideas - this is not a "heads-down" or "order-taker" role.
Required Qualifications:
- 5 6+ years of experience in modern data engineering roles with increasing responsibility.
- Proven experience in building ETL/ELT pipelines from scratch (not just maintaining existing pipelines).
- Strong hands-on experience with SnapLogic (preferred), Python, SQL, and Apache Beam/Dataflow.
- Hands-on experience with Airflow or Cloud Composer, including DAG development.
- Strong working knowledge of Google Cloud Platform (Google Cloud Platform), specifically BigQuery.
- Solid grasp of data warehouse architecture, data modeling concepts, and end-to-end data lifecycle.
- Strong communication skills and a proactive, collaborative working style.
Nice to Have (Bonus Skills):
- Experience with Kafka, Java, Alteryx, or other modern data tools.
- Background in healthcare data and familiarity with healthcare-related data processes or standards.
- Experience supporting enterprise data migration or modernization initiatives.
Ideal Candidate Traits:
- Builder mindset: thrives in greenfield environments, not legacy maintenance.
- Curious, communicative, and team-oriented: asks questions, challenges assumptions, and improves systems.
- Clear understanding of how data flows from source systems to reporting layers.
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