Data Engineer - GCP services

I8IS INC.
Charlotte, NC, United States
2 months ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$104,000.0 - $114,400.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Applications Architecture BigQuery Continuous Integration Information Engineering Data Governance Data Integration Extract Transform Load (ETL) DevOps Disaster Recovery Fault Tolerance
+8 more
Data Flow Control Identity and Access Management Python (Programming Language) Cloudera Sql Optimization System Availability Google Cloud Functions Terraform

Requirements

Data Engineering: Advanced SQL, data modeling, ETL/ELT, batch & streaming pipelines GCP Expertise: BigQuery, Dataflow, GCS, Pub/Sub, Dataproc Programming: Python (primary), with Java/Scala for distributed processing Data Integration: Ingestion patterns, APIs, CDC, and scalable pipeline design DevOps & Security: CI/CD, Terraform, IAM, data governance & lifecycle management Lead design and development of scalable, high-performance applications using Python and GCP services Architect and implement cloud-native solutions leveraging GCP services such as Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Functions Drive application architecture decisions, ensuring scalability, reliability, and maintainability Solid knowledge of disaster recovery, disaster management, and system resiliency practices, including fault tolerance, high availability, and business continuity planning

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

Videos

See all

Related articles

See all