Data Engineer - Remote Azure/Databricks Pipelines

Fast Switch, Ltd.; Newington (CT); Hybrid; USD 68,000 - 97,000; Full time

Job summary

Fast Switch, Ltd. is seeking a Data Engineer to design, build, and maintain scalable data pipelines for analytics and product use cases. You will collaborate with cross-functional teams, contribute to technical design, ensure data quality, and operate with growing independence in a remote-first environment.

The role emphasizes batch and streaming pipelines, data modeling, API integrations, and cloud-based platforms (Azure/Databricks). Agile practices and strong coding standards are expected.

Qualifications

• 2-5 years of experience in data engineering, data modeling, and ETL pipelines.
• Proficient in SQL and Python for building data pipelines.
• Experience with Azure and Databricks, including Delta Live Tables and Unity Catalog.
• Experience with data integration/orchestration tools like SnapLogic, Azure Data Factory, and Jenkins.
• Experience with Terraform for IaC and deployment pipelines.
• Experience with API integration and data quality/monitoring tools.

Responsibilities

• Develop and maintain batch and streaming data pipelines using modern tools.
• Design transformations, optimize performance, and ensure reliable data delivery.
• Design scalable, maintainable data models and storage solutions for querying and analytics.
• Participate in agile practices, refine stories, and manage dependencies.
• Implement and enforce data quality controls, validation, and compliance across pipelines.
• Support deployment, scheduling, and monitoring of data pipelines and workflows.

Skills

SQL

Python

Data modeling

ETL pipelines

Azure

Databricks

Unity Catalog

Delta Live Tables

API integration

CI/CD

Tools

SnapLogic

Azure Data Factory

Jenkins

Terraform

GitHub

Databricks

Job description

Fast Switch, Ltd. is seeking a Data Engineer to design, build, and maintain scalable data pipelines for analytics and product use cases. You will collaborate with cross-functional teams, contribute to technical design, ensure data quality, and operate with growing independence in a remote-first environment.

The role emphasizes batch and streaming pipelines, data modeling, API integrations, and cloud-based platforms (Azure/Databricks). Agile practices and strong coding standards are expected.