Senior Staff Data Engineer — Build Scalable Data Platforms

SupportFinity™; San Francisco (CA); On-site; USD 186,000 - 221,905; Full time

Benefits offered by this job

401k contributions

Competitive benefits package

Job summary

SupportFinity™ is looking for a Staff Data Engineer in San Francisco to lead the design and implementation of scalable data workflows. This role will involve working across disciplines to build robust data systems while mentoring junior engineers.

The ideal candidate will have over 6 years of experience in data engineering, strong proficiency in Python and SQL, and a solid understanding of cloud architecture. Competitive benefits, including a 401k contribution, are offered.

Qualifications

• 6+ years of experience in data engineering or software engineering roles.
• Proficiency in cloud architecture and Infrastructure as Code.
• Excellent communication skills for non-technical audiences.

Responsibilities

• Lead the design and implementation of scalable data workflows.
• Architect infrastructure and guide technical implementation.
• Collaborate with teams to translate analytical goals into data solutions.

Skills

Data engineering

Python

SQL

Cloud architecture

CI/CD

Collaboration

Education

Bachelor's or advanced degree in Computer Science, Engineering, or related field

Tools

Airflow

dbt

Snowflake

Spark

Terraform

Docker

Kubernetes

Job description

SupportFinity™ is looking for a Staff Data Engineer in San Francisco to lead the design and implementation of scalable data workflows. This role will involve working across disciplines to build robust data systems while mentoring junior engineers.

The ideal candidate will have over 6 years of experience in data engineering, strong proficiency in Python and SQL, and a solid understanding of cloud architecture. Competitive benefits, including a 401k contribution, are offered.