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# GCP Data Engineer

- **Company:** Recutify Inc.
- **Location:** Paramus, NJ, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $110,000.0
- **Contract:** Temporary to permanent
- **Skills:** Airflow, Business Analytics Applications, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Database, Cloud Storage, Continuous Integration, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Database Design, DevOps, Data Flow Control, Identity and Access Management, Python (Programming Language), NoSQL, Standard Sql, Cloudera, SQL Databases, Data Streaming, Data Logging, Google Cloud, Amazon Virtual Private Cloud (VPC), Containerization, Kubernetes, Information Technology, Google Cloud Functions, Spark Streaming, Data Pipelines, Apache Beam, Docker
- **Published:** May 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=38e8742b70400327

## About the Role

Do you have experience in SQL?, Designs, builds, and optimizes secure, scalable, and high-performance data pipelines and analytics solutions using Google Cloud Platform tools like BigQuery, Dataflow, Dataproc, Composer, GCS, Cloud function, Cloud run and Pub/Sub. This role requires 5+ years of experience, expertise in Python/SQL, and implementing data governance and CI/CD pipelines., Languages: Strong SQL and Python proficiency.

Platforms: Deep expertise in Google Cloud Platform (GCP).

Tools: BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Dataproc, Cloud sql, Cloud run, Cloud function, logging and monitoring

Data Modeling: Database design, ETL/ELT workflows.

Qualifications

Experience: 5+ years in GCP data engineering

Must have delivered at least 2 to 3 end to end projects as a data engineer using GCP Services

Strong SQL and Python proficiency.

Strong understanding of database design, data modeling (relational, dimensional, NoSQL).

Expertise in data integration, ETL/ELT, and data pipeline development.

Knowledge of cloud security best practices, identity management, and networking.

Familiarity with DevOps, CI/CD, and containerization (Docker, Kubernetes).

Excellent communication and problem-solving skills.

Education: Bachelor's degree in computer science, Engineering, or relevant field.

Certifications: Google Cloud Professional Data Engineer certification is highly preferred

## Description

Pipeline Development: Design, build, and optimize end-to-end data pipelines using GCP-native services (Dataflow, Dataproc, Cloud Storage) and Python.

Data Modeling & Architecture: Create high-quality, reproducible data models in BigQuery using partitioning, clustering, and materialized views to enhance performance and manage costs.

Streaming & Real-time: Implement real-time streaming pipelines using Pub/Sub and Apache Beam/Spark Streaming.

Infrastructure & DevOps: Establish CI/CD pipelines for data workflows.

Security & Governance: Implement best practices for data security, including IAM roles, encryption (CMEK), and VPC Service Controls.

Collaboration: Work with stakeholders to define requirements, mentor junior engineers, and produce technical documentation.


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