Python Developer

Senior Software Engineer – Python / PySpark (Mainframe Modernization)

Location:
San Francisco, CA

Duration: 12 months

Job

The team is responsible for modernizing a core mainframe-based financial application by rewriting it onto a distributed platform. This application serves as the front door for financial data, acting as the system of record (SLR) and feeding downstream general ledger systems. The platform is embedded within Corporate Accounting and plays a critical role in enterprise financial reporting and controls.

• Client is seeking a Senior Software Engineer with deep backend expertise to join a Scrum-based delivery team modernizing a mission‑critical financial system.
• This role is heavily backend‑focused, with strong emphasis on Python and PySpark, while also contributing to frontend development using React and Angular as needed.
• This candidate will serve as a technical SME, guiding a team that is actively upskilling from mainframe technologies into modern Python‑based platforms.
• While this is not a people‑lead role, the position requires strong mentorship, technical guidance, and exceptional communication skills.
• The engineer will work closely with Product Owners, Lines of Business, and Operations teams, and must be comfortable presenting technical concepts to both technical and non‑technical audiences.

• 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, LOB stakeholders, and Operations.
• 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 plus 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:
  Lang Graph, Lang Chain, A2A.
• Programming
  
  Languages:
  
  Java, Scala, SQL, HiveQL.
• Big Data Technologies:
  Hadoop, Spark, HDFS, Hive, Cloudera, Hortonworks.
• Cloud Platforms: AWS (Glue, Lambda, Redshift, S3, Cloud Watch).
• 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:
  Git Hub Actions, Azure Dev Ops, Jenkins, Git, Autosys, Airflow.
• Containerization and Orchestration:
  Kubernetes.

• Full Stack Python.
• Front‑End:
  React/Angular.
• Back‑End:
  FastAPI / Flask.
• Data layer: SQLServer/Exadata.
• Streaming:
  Kafka.
• Agentic AI:
  Lang Graph, Lang Chain, A2A (Good to Have).
• CI/CD:
  Git Hub Actions / Azure Dev Ops, Kubernetes.

• Experience in financial institutions or enterprise accounting environments is highly desirable.
• Familiarity with financial data flows, general ledger concepts, and accounting terminology is a plus, though strong technical expertise is the primary requirement.

• Senior‑level individual contributor with strong backend engineering depth.
• Comfortable serving as an SME and mentor without formal people‑management responsibilities.
• Confident presenter with the ability to explain complex systems clearly.
• Adaptable, collaborative, and effective in cross‑functional environments.

Pay Range: $75- $85 on W2.

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full‑time consultants have access to benefits including medical, dental, vision and 401(k) contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.