

Jobs via Dice
Python Developer - W2 Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with 7+ years of experience in backend development, focusing on Python and PySpark. The 24+ month contract is hybrid in San Francisco, offering a pay rate of "insert pay rate." Experience in financial systems is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
San Francisco, CA
-
🧠 - Skills detailed
#Java #GitHub #Migration #S3 (Amazon Simple Storage Service) #Data Integration #Data Lake #Data Modeling #Hadoop #Documentation #Flask #Langchain #Data Processing #GIT #FastAPI #Redshift #Angular #Airflow #Agile #Cloud #Big Data #Data Accuracy #Spark (Apache Spark) #Azure #Databricks #Programming #Scrum #Lambda (AWS Lambda) #AI (Artificial Intelligence) #Deployment #DevOps #AWS (Amazon Web Services) #Kafka (Apache Kafka) #Cloudera #Code Reviews #Azure DevOps #React #"ETL (Extract #Transform #Load)" #Scala #HDFS (Hadoop Distributed File System) #Consulting #HiveQL #Jenkins #SQL Server #AWS Glue #PySpark #Compliance #Data Ingestion #SQL (Structured Query Language) #Kubernetes #Python #Automation
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, CogniSoft Technologies, is seeking the following. Apply via Dice today!
Job Title: Python Developer
Location: San Francisco, CA (3 Days Onsite - Hybrid) – Open for relocation with 100% surety
Duration: 24+ Months (with possible extension)
Job Description:
• Senior Software Engineer – Python / PySpark (Mainframe Modernization)
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.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, CogniSoft Technologies, is seeking the following. Apply via Dice today!
Job Title: Python Developer
Location: San Francisco, CA (3 Days Onsite - Hybrid) – Open for relocation with 100% surety
Duration: 24+ Months (with possible extension)
Job Description:
• Senior Software Engineer – Python / PySpark (Mainframe Modernization)
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.






