Senior Data Infra Engineer (ML & Lakehouse)

Plaid; San Francisco (CA); On-site; USD 180,000 - 270,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Job summary

A tech company specializing in financial services is seeking a Data Infrastructure Engineer to enhance data-driven and machine-learning initiatives. The ideal candidate will have over 5 years of software engineering experience, with a focus on data infrastructure or machine learning systems. Responsibilities include leading projects, mentoring team members, and collaborating across departments. This role offers a competitive salary ranging from $180,000 to $270,000 annually based on location and experience.

Qualifications

• 5+ years of software engineering experience.
• Extensive software engineering experience in Data Infrastructure.
• Strong understanding of ML or Data Infrastructure systems.
• Proficiency in coding, testing, and system design.
• Demonstrated leadership experience in mentoring engineers.

Responsibilities

• Contribute to technical roadmap for data-driven machine learning.
• Lead data infrastructure projects.
• Work with teams to define technical roadmaps.
• Debug and troubleshoot the Data Platform.
• Mentor and lead the team.

Skills

Software engineering experience

Collaboration and communication skills

Project management skills

Coding and testing proficiency

Leadership abilities

Tools

Databricks

Airflow

AWS EMR

Job description

A tech company specializing in financial services is seeking a Data Infrastructure Engineer to enhance data-driven and machine-learning initiatives. The ideal candidate will have over 5 years of software engineering experience, with a focus on data infrastructure or machine learning systems. Responsibilities include leading projects, mentoring team members, and collaborating across departments. This role offers a competitive salary ranging from $180,000 to $270,000 annually based on location and experience.