Confluence Technologies

Team collaboration and knowledge management platform

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

Solid Python experience in a data engineering environment.
Advanced SQL skills and hands-on experience with Snowflake.
Experience designing and running production-grade extract, transform, and load pipelines at scale.
Exposure to cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform.
Ability to take ownership of work end-to-end, from design through to deployment and monitoring.

Responsibilities

Design and deliver scalable data solutions that power organizational decision-making.
Take ownership of key components of the data platform.
Build reliable, high-quality data pipelines using modern tools and technologies.
Collaborate with teams across the business.
Contribute to architectural decisions.
Support the growth of other engineers through mentorship and knowledge sharing.

Desired Qualifications

Experience working with financial or regulated data environments.
Familiarity with orchestration tools such as Airflow or AWS Step Functions.
Exposure to streaming or near real-time data pipelines.

Location - Pittsburgh, Boston, Toronto or Montreal

Why Confluence?

At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.

We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.

You’ll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable code.

Why Join Us?

Work on meaningful data challenges that have real business impact
Collaborate with a supportive and knowledgeable team
Opportunity to influence architecture and engineering standards
Grow your leadership skills through mentoring and project ownership

Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices.

Essential Experience

Solid Python experience in a data engineering environment
Advanced SQL skills and hands-on experience with Snowflake
Experience designing and running production-grade ETL pipelines at scale
Exposure to cloud platforms such as AWS, Azure, or GCP
Ability to take ownership of work end-to-end, from design through to deployment and monitoring

Nice to Have

Experience working with financial or regulated data environments
Familiarity with orchestration tools such as Airflow or AWS Step Functions
Exposure to streaming or near real-time data pipelines

About the Company

Confluence Technologies

Team collaboration and knowledge management platform

Confluence is a team collaboration and knowledge-management platform that helps groups create, organize, and discuss work in a central space. It centers on pages and documents—such as project plans, meeting notes, technical docs, and knowledge bases—that can include text, images, and multimedia. Users edit and structure content with a flexible editor, link pages, and organize them into spaces for easy navigation, commenting, and sharing. The product is delivered as a subscription service with a free tier for small teams and paid plans that scale by user count and features. Confluence differentiates itself by offering tight integration with the broader Atlassian ecosystem (e.g., Jira) and a wiki-like, permission-driven structure that supports enterprise knowledge management and broad collaboration across projects. Its goal is to improve team communication, foster knowledge sharing, and raise productivity by making information easy to create, find, and discuss.

Company size: 501-1,000
Company stage: Late Stage VC
Total funding: $60M
Headquarters: Pittsburgh, PA
Founded: 1991

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