Python / PySpark (Mainframe Modernization)
Apex Systems
Python / PySpark (Mainframe Modernization) Location: San Francisco, California (Onsite) Employment Type: Contract Duration: 12 months Role Overview We are seeking a Senior Software Engineer with backend expertise to join a Scrum-based delivery team modernizing a mission-critical financial system. This role is heavily backend-focused, with an emphasis on Python and PySpark, while also contributing to frontend development using React and Angular as needed. This individual will serve as a technical subject matter expert, guiding a team that is upskilling from mainframe technologies. The position requires mentorship, technical guidance, and communication skills to work with Product Owners, Lines of Business, and Operations teams. Key Responsibilities
- Design, develop, and modernize backend services to replace legacy mainframe functionality on a distributed platform.
- Build and maintain data ingestion, validation, and transformation pipelines using Python and PySpark.
- Develop and support APIs using FastAPI and/or Flask.
- Collaborate within a Scrum team, partnering closely with Product Owners and stakeholders.
- Act as a Python SME, mentoring engineers transitioning from mainframe technologies.
- Contribute to frontend development using React and Angular when required.
- Ensure data accuracy and integrity for financial feeds flowing into general ledger systems.
- Participate in technical design discussions, code reviews, and architecture decisions.
- Communicate effectively through documentation, presentations, and stakeholder discussions.
- Support CI/CD pipelines and cloud-native deployments using containerized platforms.
- 7+ years of relevant professional software engineering experience.
- Strong expertise in Python, with production experience using PySpark.
- Backend experience with FastAPI and/or Flask.
- Frontend experience with React and/or Angular.
- Experience with SQL Server and/or Exadata.
- Hands-on experience with Kafka or other streaming platforms.
- Experience working in Agile / Scrum delivery models.
- Strong communication, presentation, and stakeholder engagement skills.
- Ability to guide and mentor other engineers as a senior technical contributor.
- Agentic AI frameworks: LangGraph, LangChain, A2A.
- Programming Languages: Java, Scala, SQL, HiveQL.
- Big Data Technologies: Hadoop, Spark, HDFS, Hive, Cloudera, Hortonworks.
- Cloud Platforms: AWS (Glue, Lambda, Redshift, S3, CloudWatch).
- ETL / ELT Tools: AWS Glue, PySpark, Databricks.
- Data Integration & Migration: Hadoop ecosystems, Kafka, real-time streaming, data lakes.
- Data Modeling: dimensional models, structured and unstructured data processing.
- CI/CD & Automation: GitHub Actions, Azure DevOps, Jenkins, Git, Autosys, Airflow.
- Containerization & Orchestration: Kubernetes.
- Experience in financial institutions or enterprise accounting environments.
Vacancy posted 5 days ago
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