Remote Senior Data Engineer - GCP, Pipelines & CI/CD

Unique System Skills LLC

United States

Remote

USD 140,000 - 180,000

Full time

14 days+

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Job summary

Unique System Skills LLC is seeking a Senior Data Engineer to design, build, and maintain data pipelines for large-scale, distributed systems. You will develop backend services for high-throughput data applications and optimize SQL across traditional RDBMS and lakehouse environments.

Collaborate with engineering teams to deploy scalable services using Docker and CI/CD, monitor data workflows for reliability, and contribute to automation and deployment processes.

Qualifications

  • Experience in infrastructure and software engineering with exposure to data engineering.
  • Strong proficiency in SQL across relational databases and lakehouse environments.
  • Experience building and supporting backend services in distributed systems.
  • Hands-on experience with CI/CD pipelines (e.g., GitHub, Jenkins) and containerization (Docker).
  • Proficiency in Python, C#, Kafka, shell scripting, and Linux/Unix systems.
  • Proven ability to work independently and proactively in a remote environment.

Responsibilities

  • Design, build, and maintain robust data pipelines for large-scale, distributed systems.
  • Develop and support backend services for high-throughput, data-intensive applications.
  • Optimize and manage SQL queries across both traditional RDBMS and modern lakehouse architectures.
  • Collaborate with engineering teams to deploy scalable services using Docker and CI/CD pipelines.
  • Monitor, troubleshoot, and improve data workflows to ensure reliability and performance.
  • Contribute to infrastructure automation and deployment processes.
  • Work independently to solve technical challenges while maintaining clear communication with stakeholders.

Skills

SQL
Python
C#
Kafka
Shell scripting
Linux/Unix
CI/CD

Tools

Docker
GitHub
Jenkins

Job description

Unique System Skills LLC is seeking a Senior Data Engineer to design, build, and maintain data pipelines for large-scale, distributed systems. You will develop backend services for high-throughput data applications and optimize SQL across traditional RDBMS and lakehouse environments.

Collaborate with engineering teams to deploy scalable services using Docker and CI/CD, monitor data workflows for reliability, and contribute to automation and deployment processes.

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