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# GCP Data Engineer

- **Company:** SWIFT
- **Location:** New Hartford, CT, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, BigQuery, Cloud Storage, Data Validation, Data Infrastructure, Data Profiling, Distributed Systems, Electronic Data Interchange (EDI), Github, Python (Programming Language), Linux System Administration, MongoDB, NoSQL, Performance Tuning, DataOps, Shell Script, Freeform SQL, Google Cloud, Apache Kafka, Data Management, Google Gemini, Stream Processing, GPT, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.careerjet.com/jobad/us9e07ba067dfa72bd4beed5833dafa7d0

## About the Role

Required AI Experience: Must have hands-on experience using GPT and Gemini for business use cases. Candidates must be able to demonstrate how they use these tools. Relevant AI usage must be clearly highlighted on the resume., * Minimum 7 years of proven hands-on experience with GCP data services.

 * Minimum 3 years of hands-on experience with the following technologies and responsibilities:

 * Design and implement data pipelines using GCP services, including BigQuery, Cloud Storage, and Pub/Sub.
 * Develop and manage workflows using Cloud Composer (Apache Airflow), including Cloud Composer 3, for scheduling and orchestration.
 * Write clean, efficient, and scalable Python code using advanced programming techniques.
 * Develop complex SQL queries in BigQuery using window functions, CTEs, and performance-tuning strategies.
 * Build and maintain real-time data processing systems using Apache Kafka.
 * Design and manage scalable NoSQL schemas using MongoDB.
 * Use Shell scripting and perform Linux system administration tasks to support data infrastructure.
 * Perform data profiling and implement data validation techniques to ensure data quality and integrity.
 * Develop and maintain API integration scripts for service automation and data exchange.
 * Troubleshoot and resolve data-related issues using analytical and problem-solving skills.
 * Create and maintain data flow diagrams to communicate architecture and pipeline logic to stakeholders.

Additional Requirements

 * Strong understanding of distributed systems and data engineering best practices.
 * Excellent communication, documentation, and collaboration skills.
 * Ability to work independently in a fast-paced environment.
 * Experience with Agile methodology; SAFe experience preferred.
 * Experience working in an onshore/offshore support model and collaborating with offshore teams.
 * Experience with GitHub, RTC, and automation tools preferred.
 * Google Cloud Professional Data Engineer Certification preferred.

Important Screening Checklist * Confirm the candidate is local to Hartford, CT and can work onsite 3 days per week.

 * Triple-check and confirm USC, Green Card, or Green Card EAD status.
 * Verify 7+ years of hands-on GCP data services experience.
 * Verify 3+ years of experience with the listed technical skills.
 * Confirm practical GPT and Gemini usage for business use cases and ensure it is clearly highlighted on the resume.
 * Confirm availability for the Ropes Assessment.