Bachelor's degree in Computer Science or related field.
10+ years of backend software development experience.
10+ years of hands-on experience with Django.
Advanced Python development in enterprise environments.
Proven experience designing secure RESTful APIs.
Strong knowledge of Microsoft Azure cloud services.
Experience with Azure Databricks, PySpark, and Delta Lake.
Responsibilities
Lead the design and development of scalable backend applications.
Build secure, high-performing RESTful APIs and web services.
Develop and optimize data-processing solutions using Azure technologies.
Integrate Azure cloud services for application deployment and management.
Design and maintain ETL pipelines for large data volumes.
Conduct code reviews and promote engineering best practices.
Mentor junior developers to enhance team capabilities.
Benefits
Hybrid work opportunity in Jersey City, New Jersey.
Engagement as W2 employee only; no C2C or 1099 arrangements.
Exposure to regulatory reporting technology and large-scale financial data environments.
Full Job Description
Job Description Be Part Of A High-Performing Team
Join the technology organization of a global financial institution supporting enterprise data, regulatory reporting, and business-critical applications. This team develops secure, scalable platforms that process high volumes of data and enable reliable reporting across complex banking operations. The environment calls for experienced technical leaders who can take ownership, guide engineering decisions, and collaborate effectively with developers, product partners, and business stakeholders.
What s In Store For You
Engagement: W2 only; no C2C or 1099 arrangements.
Hybrid opportunity: Work from the Jersey City, New Jersey office as part of a collaborative technology team.
Lead the design and delivery of business-critical backend and data-processing solutions.
Influence application architecture, cloud implementation, engineering standards, and technical direction.
Mentor junior developers while remaining closely involved in hands-on development.
Gain exposure to regulatory reporting technology and large-scale financial data environments.
How You Will Make An Impact
Lead the design and development of scalable backend applications using Python and Django.
Build secure, high-performing RESTful APIs and web services that support enterprise applications.
Develop and optimize data-processing solutions using Azure Databricks, PySpark, Delta Lake, and Delta tables.
Integrate Azure cloud services to support application deployment, data processing, monitoring, and management.
Design and maintain ETL pipelines that collect, transform, validate, and store large volumes of data.
Improve SQL and NoSQL database performance, data quality, and storage efficiency.
Participate in architecture discussions and make technical decisions that support performance, security, and scalability.
Conduct code reviews and promote development standards, reusable patterns, and engineering best practices.
Partner with front-end engineers, product managers, and business stakeholders to deliver complete technical solutions.
Mentor junior developers and help strengthen the team s backend and cloud-development capabilities.
Demonstrate accountability for project commitments, technical quality, and successful delivery outcomes.
Requirements
Do You Have the Expertise to Lead in Django Backend and Azure Data Engineering?
Bachelor s degree in Computer Science, Information Technology, or a related technical discipline.
At least 10 years of backend software-development experience.
At least 10 years of hands-on experience developing applications with Django.
Advanced Python development experience in enterprise application or data-processing environments.
Proven experience designing secure and scalable RESTful APIs and web services.
Strong working knowledge of Microsoft Azure cloud services.
Hands-on experience with Azure Databricks, PySpark, Delta Lake, and Delta tables.
Strong SQL skills and experience working with relational and NoSQL databases.
Experience developing ETL pipelines and processing high-volume datasets.
Experience with Git-based source control, code reviews, and Agile delivery practices.
Strong understanding of application security, performance optimization, and scalable architecture.
Demonstrated experience leading technical projects and mentoring less-experienced developers.
Excellent communication, analytical thinking, and problem-solving abilities.
Proactive, dependable, and committed to taking ownership of technical outcomes.
