Remote Data Engineer — Build Scalable Data Pipelines

Talentify; Wilmington (MA); Remote; USD 76,000 - 90,000; Full time

Job summary

Talentify is seeking a Data Engineer to support the development and optimization of scalable data infrastructure powering high-volume, data-intensive applications. The role emphasizes building robust data pipelines and backend services for distributed systems.

You will work in a fully remote or hybrid setup, collaborating with engineering teams, using Docker and CI/CD, and improving data workflows for reliability and performance.

Qualifications

• 3+ years 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#

Docker

CI/CD

Kafka

Shell scripting

Linux/Unix

Distributed systems

Tools

GitHub

Jenkins

Job description

Talentify is seeking a Data Engineer to support the development and optimization of scalable data infrastructure powering high-volume, data-intensive applications. The role emphasizes building robust data pipelines and backend services for distributed systems.

You will work in a fully remote or hybrid setup, collaborating with engineering teams, using Docker and CI/CD, and improving data workflows for reliability and performance.