Senior GCP Data Engineer
United States
Full Time
2 hours ago
$76,200 - $187,740 USD
No H1B
Key skills
AirflowApacheBigQueryCloudETLGoogle Cloud PlatformSparkSQLTerraformAIMLELTData EngineeringAnalyticsGCPGoogle CloudIAMPub/SubCloud StorageVertex AIcomposerCI/CDStakeholder ManagementCommunication
About this role
Role Overview
- Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform
- Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer
- Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases
- Ensure data quality, validation, and adherence to data governance and security standards
- Develop infrastructure as code using Terraform or equivalent tools
- Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies
- Apply GCP security best practices, including IAM, networking, encryption, and compliance controls
- Partner with business and technology stakeholders to translate technical designs into functional, efficient code
- Act as a technical developer on cloud data modernization and GCP best practices
- Support solution implementation, including testing, debugging, and production support.
Requirements
- 5+ years of overall IT experience with 3+ years specifically in cloud data engineering
- Proven experience building and deploying GCP-based data pipelines
- Background with large enterprise data programs across industries
- Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow)
- Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL
- Experience with CI/CD, Terraform, and DataOps practices
- Exposure to AI/ML enablement on GCP (Vertex AI is a plus)
- Google Professional Data Engineer Certification
- Strong communication and stakeholder management abilities
- Ability to explain technical concepts to technical and non-technical audiences
- Experience working in global, distributed teams
- Passion for innovation, engineering excellence.
Tech Stack
- Airflow
- Apache
- BigQuery
- Cloud
- ETL
- Google Cloud Platform
- Spark
- SQL
- Terraform
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility