Overview

We are seeking a Senior Python Software Engineer (Production Data & Model Services) to design, build and operate production-grade Python applications and data pipelines. In this role, you will transform quantitative and data science prototypes into robust, deployable services while collaborating closely with platform teams to ensure scalable and well-governed solutions.

Responsibilities

  • Build and run production-grade Python applications including APIs and batch jobs with strong SDLC practices covering code reviews, testing, CI/CD, observability and documentation
  • Develop robust batch and near-real-time data pipelines reading and writing governed storage with Parquet and columnar formats following approved patterns
  • Transform quant and data science prototypes into deployable packages and services that are typed, modular and versioned
  • Expose scoring and analytics capabilities via APIs or scheduled jobs rather than notebook-only deliverables
  • Collaborate with platform teams on Databricks and Spark connectivity
  • Optimize PySpark workloads when needed to ensure performance and scalability
  • Maintain release discipline through Git workflows, automated tests and code reviews
  • Operate within governed platform environments to ensure compliance and reliability

Requirements

  • 3+ years of experience in Python engineering with proficiency in packaging (wheels/pyproject), typing, clean architecture, error handling and performance mindset
  • Proven background in production SDLC including Git workflows, automated tests, CI/CD, code reviews and release discipline
  • Strong skills in Pandas and NumPy applied to production pipelines
  • Familiarity with data formats such as Parquet and governed data access patterns
  • Experience building and operating APIs and services using FastAPI, Flask or similar frameworks
  • Competency in working within governed platform environments such as Databricks or containerized dev platforms

Nice to have

  • Skills in scikit-learn for production feature and scoring pipelines, including reproducible transforms and model packaging/versioning
  • Background in PySpark and distributed processing
  • Familiarity with IDE-to-Databricks workflows such as Databricks Connect

Poland (Prod)

We gather like-minded people:

  • Engineering community of industry professionals
  • Friendly team and enjoyable working environment
  • Flexible schedule and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities

We provide growth opportunities:

  • Outstanding career roadmap
  • Leadership development, career advising, soft skills, and well-being programs
  • Certification (GCP, Azure, AWS)
  • Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
  • English classes

We cover it all:

  • Stable income (Employment Contract or B2B)
  • Participation in the Employee Stock Purchase Plan
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
  • Referral bonuses
  • Corporate, social and well-being events

Please, note:

  • The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview.
  • We will reach out to selected candidates exclusively.

[epamgdo] Poland (About EPAM)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.