Python Developer

Job Description

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Senior Software Engineer - Python / PySpark (Mainframe Modernization)

Location: San Francisco, CA

Duration: 12 months

Job ID: 176553

Team Objective

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.

Role Summary:

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.

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, 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

Required Qualifications:

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

Preferred / Nice-to-Have Skills:

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 and Orchestration: Kubernetes

Required Skills:

Full Stack Python
FrontEnd: React/Angular
Backend: FastAPI / Flask
Data layer: SQLServer/Exadata
Streaming: Kafka
Agentic AI: LangGraph, LangChain, A2A (Good to Have)
CI/CD: (GitHub Actions / Azure DevOps), Kubernates

Industry Background (Preferred):

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

Ideal Candidate Profile:

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

In this contingent resource assignment, candidates may:

Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
Strategically collaborate and consult with client personnel.

Required Qualifications:

5 plus years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

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 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

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