Senior Data Engineer — Remote/Hybrid, Lead Pipelines

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

Benefits offered by this job

Time Off packages

Global Career Development

Social Events

Referral Bonus

Job summary

Confluence is seeking a Senior Data Engineer to design and deliver scalable data solutions powering decision-making. You will own key components of the data platform, work hands-on with modern technologies, and collaborate across teams to shape architecture and engineering standards.

You will mentor others and tackle complex data challenges with maintainable code, in a developer-focused role that values ownership and quality.

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

• Collaborate with teams across the business and contribute to architectural decisions.
• Mentor and share knowledge to help grow other engineers.
• Build scalable data solutions with clean, maintainable code.

Skills

Python

SQL

Snowflake

ETL pipelines

AWS

Airflow

Step Functions

Tools

Airflow

AWS Step Functions

Job description

Confluence is seeking a Senior Data Engineer to design and deliver scalable data solutions powering decision-making. You will own key components of the data platform, work hands-on with modern technologies, and collaborate across teams to shape architecture and engineering standards.

You will mentor others and tackle complex data challenges with maintainable code, in a developer-focused role that values ownership and quality.