Senior Data Engineer: Scalable Pipelines & Leadership

Confluence; Pittsburgh (Allegheny County); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Time Off

Global Career Development

Social Events

Referral Bonus

Job summary

Confluence in Pittsburgh is seeking a Senior Data Engineer to design and deliver scalable data solutions that power decision‑making across the organization. You will own key components of the data platform, hands‑on with modern tools, and build reliable, maintainable pipelines.

You will collaborate with cross‑functional teams, contribute to architectural decisions, and mentor fellow engineers while solving complex data challenges in a fast‑paced environment.

Qualifications

• 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.

Responsibilities

• Design and deliver scalable data solutions powering decision‑making across the organization.
• Own key components of the data platform and data pipelines, ensuring reliability.
• Mentor and share knowledge with other engineers to raise the team's capabilities.

Skills

Python

SQL

ETL pipelines

Cloud platforms (AWS/Azure/GCP)

Ownership (end-to-end)

Data engineering

Tools

Snowflake

Airflow

AWS

Azure

GCP

Job description

Confluence in Pittsburgh is seeking a Senior Data Engineer to design and deliver scalable data solutions that power decision‑making across the organization. You will own key components of the data platform, hands‑on with modern tools, and build reliable, maintainable pipelines.

You will collaborate with cross‑functional teams, contribute to architectural decisions, and mentor fellow engineers while solving complex data challenges in a fast‑paced environment.