Senior Data Engineer: Lead Scalable Pipelines & Architecture

Confluence Technologies, Inc.; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Generous Time Off

Global Career Development

Social Events

Referral Bonus

Job summary

Confluence Technologies, Inc. is seeking a Senior Data Engineer in Pittsburgh to design and deliver scalable data pipelines that power decision‑making across the organization. You’ll own core components of the data platform and work hands‑on with modern tools and technologies.

This developer‑focused role emphasizes clean, maintainable code, mentorship, and collaboration with cross‑functional teams. Remote North East US considered; commuting to listed offices is expected.

Qualifications

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

Responsibilities

• 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.

Skills

Python

SQL

ETL

Cloud Platforms

End-to-end Ownership

Data Platform

Mentorship

Tools

Snowflake

Airflow/AWS Step Functions

Job description

Confluence Technologies, Inc. is seeking a Senior Data Engineer in Pittsburgh to design and deliver scalable data pipelines that power decision‑making across the organization. You’ll own core components of the data platform and work hands‑on with modern tools and technologies.

This developer‑focused role emphasizes clean, maintainable code, mentorship, and collaboration with cross‑functional teams. Remote North East US considered; commuting to listed offices is expected.