Senior Python Developer with Spark

About the role

This role focuses heavily on developing high performance data pipelines using Spark and Python, as well as working with complex relational datasets. You'll partner with cross functional teams to deliver scalable, reliable, and well architected data solutions that support critical business functions in a financial services setting.

Responsibilities

• Design, build, and optimize large scale data processing systems in a cloud native AWS environment
• Develop high performance data pipelines using Spark and Python
• Work with complex relational datasets
• Diagnose and improve inefficient data workflows, particularly Spark jobs
• Write advanced SQL to support hierarchical and analytical use cases
• Partner with cross-functional teams to deliver scalable, reliable, and well architected data solutions
• Build and consume APIs, along with data transformation and ingestion workflows
• Perform data analysis and extract actionable insights
• Build and consume APIs, along with data transformation and ingestion workflows
• Build and consume APIs, along with data transformation and ingestion workflows

Requirements

• 8+ years of hands on experience with Python for data engineering, including building and maintaining data pipelines
• Deep expertise in Apache Spark, including: Performance tuning (partitioning, caching, broadcast joins, shuffle optimization), Understanding of execution plans (DAGs, stages, tasks), Memory and resource management
• Solid experience with big data ecosystems such as Hadoop, Hive, and EMR
• Advanced proficiency in SQL, including: Writing recursive CTEs for hierarchical data (e.g., org structures, parent child relationships), Query optimization, indexing strategies, and execution plan analysis
• Strong experience with AWS services including EMR, Lambda, Step Functions, EventBridge, Redshift, S3, and Glue
• Experience building and consuming APIs, along with data transformation and ingestion workflows
• Proven ability to work with large scale datasets, performing data analysis and extracting actionable insights
• Familiarity with data modeling concepts (normalized/denormalized structures, handling hierarchical data)
• Hands on experience with CI/CD pipelines and tools such as GitLab and Terraform
• Strong understanding of performance troubleshooting, including identifying bottlenecks in distributed systems
• Ability to clearly explain technical decisions, especially around Spark optimization and SQL logic
• Strong analytical thinking, problem solving skills, and attention to detail
• Effective collaboration skills in cross functional, matrixed environments

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field

Skills

• Experience in financial services or regulated environments
• Exposure to data visualization tools
• Familiarity with event driven architectures on AWS

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well being programs

Pay

A reasonable estimate of the current range for this role in the U.S. is $97,300.00 - $156,700.00.

Schedule

Hybrid working model is acceptable.