Senior Data Engineer

Unique System Skills LLC; United States; Remote; USD 140,000 - 180,000; Full time

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

Position:

Senior Data Engineer

Location:

Remote

Duration:

6 to 12 Months Contract

Must Have experience in Google Cloud Platform (Google Cloud Platform)

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

Required 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