Senior Big Data Developer

We are looking for a Senior Big Data Developer to design, develop, and maintain scalable data processing pipelines using Spark, Scala, and Python. This is a 12-month contract with a strong likelihood of a 24-month extension. Three days onsite/2 days remote

DATA PIPELINE DEVELOPMENT: Design, develop, and maintain scalable data processing pipelines using Spark, Scala, and Python. Build and optimize ETL processes for large-volume data ingestion and transformation. Develop and optimize applications for large-scale data processing

CLOUD INFRASTRUCTURE: Build, deploy, and secure data infrastructure and applications on GCP

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

EXPERIENCE REQUIREMENTS: 10+ years IT engineering experience 8+ years Big Data development using PySpark, Python, and Scala

REQUIRED SKILLS: Strong batch processing experience. Hands-on GCP cloud platform experience (build, deploy, secure). Proven ability to process extremely large data volumes in enterprise environments. 5+ years in data processing, pipeline development, and performance tuning. 4+ years of design and development experience. Prior financial services industry experience required

DESIRED SKILLS: Background in financial crimes technology domain

Medical insurance Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Long-term disability insurance

Short-term disability insurance

Paid parking and public transportation

Paid time off, Paid sick and safe time, Paid vacation time, Paid parental leave

Paid holidays annually

Benefits are subject to applicable eligibility requirements.