Principal Python Developer - Data Engineering (ML Background Welcome)

A technology services client of ours is looking for Principal Python Developer skills their ongoing projects. We are seeking a highly skilled Principal Python Developer with a strong data engineering focus to join a small, high-priority team in the financial services domain. This is not a junior or mid-level position — we need a seasoned developer who can immediately contribute by writing production-grade Python code and building scalable data pipelines in AWS. Below are the additional details of this role: Required Skills: • 10+ years professional experience, with 7+ years of Python development (production- grade, not scripting). • Strong computer science fundamentals: data structures, algorithms, OOP, concurrency, exception handling. • Hands-on experience with AWS data services: EMR, Glue, Redshift, S3, Step Functions, Lambda. • Expertise in PySpark for distributed transformations. • Strong SQL skills; ability to optimize queries and manage large, complex schemas. • Experience applying TDD/BDD with pytest/behave or similar frameworks. • Familiarity with IaC (Terraform/CloudFormation) and DevOps practices (GitHub/GitLab). • Knowledge of design patterns and reusable library development. • Multiple language proficiency (Python + another language such as C++/Go/Java/Scala). • Open-source/community contributions. • Background in Data Science or ML Engineering that required strong Python development (e.g., building models, training pipelines, or ML frameworks at scale). • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related This role can be W2 and open for USC/GC/H1B resources.