Senior Data Engineer - Scalable Pipelines & Mentorship

Style Analytics; Boston (KY); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Time Off packages

Global Career Development

Social Events

Referral Bonus scheme - upto $3,000

Plus many more!

Job summary

Confluence is seeking a Senior Data Engineer to design and deliver scalable data solutions that power decision-making across the organization. You’ll own key data-platform components and mentor fellow engineers, working hands-on with modern tools to build reliable, production-grade pipelines.

This developer-focused role emphasizes end-to-end ownership, collaboration across teams, and growth through leadership and project ownership. Flexible location and strong data chops are valued.

Qualifications

• Solid Python experience in data engineering environments.
• Advanced SQL skills and hands-on Snowflake experience.
• 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 deployment and monitoring.

Responsibilities

• Design and deliver scalable data solutions powering decision-making.
• Own key components of the data platform and mentor engineers.
• Collaborate with cross-functional teams to shape architecture and standards.
• Build reliable, high-quality data pipelines with maintainable code.

Skills

Python

SQL

Snowflake

ETL pipelines

Cloud platforms

Ownership

Job description

Confluence is seeking a Senior Data Engineer to design and deliver scalable data solutions that power decision-making across the organization. You’ll own key data-platform components and mentor fellow engineers, working hands-on with modern tools to build reliable, production-grade pipelines.

This developer-focused role emphasizes end-to-end ownership, collaboration across teams, and growth through leadership and project ownership. Flexible location and strong data chops are valued.