Axiom Path

Lead Django Backend & Azure Data Engineer

Axiom Path Jersey City, New Jersey, United States

IT Services and IT Consulting · 51-200 employees

Oct 05
django Principal (10+ yrs) Contractor United States
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About the role

Lead the design and development of scalable backend applications and data-processing solutions using Python, Django, and Azure cloud services. Collaborate with cross-functional teams to build secure APIs, maintain ETL pipelines, and mentor junior developers to ensure high-quality technical outcomes.

What they look for

Python Django Azure Azure Databricks PySpark Delta Lake SQL NoSQL ETL Pipelines RESTful APIs Cloud Architecture Data Engineering Software Development Agile Mentoring Technical Leadership

Requirements

Requires a bachelor's degree in a technical discipline and at least 10 years of experience in backend software development and Django. Candidates must possess strong expertise in Azure cloud services, data engineering tools like PySpark and Databricks, and proven leadership capabilities.

Full 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.

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