Lead Backend and Data Engineer
Eliassen Group
About the role
Lead Backend and Data Engineer
Type: Contract
Category: Development
Industry: Financial Services
Reference ID: JN -032026-105923
Date Posted: 03/11/2026
This position is hybrid in McLean, VA.
Join our team at Eliassen Group as a talented Lead Backend and Data Engineer, where you will take charge of the Personal Loans Phase 2 initiative. Your focus will be on creating an effective abstraction layer and ensuring reliable data flows through partnerships with external entities. Your deep knowledge of Python, PySpark, Golang, and AWS solutions will be invaluable as we aim for rapid, high-quality results. This role involves designing APIs, constructing batch data pipelines, and establishing new infrastructure to ensure smooth transitions for future data migrations. We are looking for a candidate who can harness AI developer tools to boost productivity and meet our delivery standards.
Responsibilities: • Design and create an abstraction layer for efficiently migrating externally sourced data. • Develop and sustain robust APIs and batch data flows to improve customer experiences and support downstream consumers. • Optimize and construct data pipelines utilizing Python, PySpark, and AWS big data technologies. • Establish secure backend services and cloud infrastructure, primarily using AWS. • Rapidly deliver software increments while ensuring thorough testing, monitoring, and documentation. • Collaborate with cross-functional teams to integrate Personal Loans solutions into our organization. • Leverage AI development tools to enhance code quality, development speed, and maintainability. • Contribute to best practices that promote data engineering excellence, security, and cost-efficiency.
Experience Requirements: • Extensive experience in data engineering using Python and PySpark. • Hands-on familiarity with AWS big data tools and services, including EMR. • Expertise in building scalable APIs and batch data pipelines. • Strong backend engineering capabilities with proficiency in Python or Golang and AWS. • Experience in developing new cloud infrastructure and delivering software swiftly and effectively. • Familiarity with frontend frameworks like Angular or React is a plus. • Experience utilizing AI developer tools such as Claude or Windsurf to amplify productivity is advantageous. • Previous experience in a large-scale financial setting is preferred.
Eliassen Group values transparency in its recruitment practices. Please note that AI tools may be used during the application screening process to identify candidates that closely match the job requirements. All AI-assisted assessments will be reviewed by human recruiters to ensure fairness and consistency in our hiring practices.
The W2 employees of Eliassen Group working 30 or more hours per week are eligible for a comprehensive benefits package, including medical, dental, vision, 401(k) with company matching, and life insurance.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer dedicated to providing employment opportunities without regard to race, color, religion, sex, national origin, age, veteran status, or disability status.
If you are excited about this opportunity, we encourage you to apply!
Requirements
- Extensive experience in data engineering using Python and PySpark
- Hands-on familiarity with AWS big data tools and services, including EMR
- Expertise in building scalable APIs and batch data pipelines
- Strong backend engineering capabilities with proficiency in Python or Golang and AWS
- Experience in developing new cloud infrastructure and delivering software swiftly and effectively
- Experience utilizing AI developer tools such as Claude or Windsurf to amplify productivity is advantageous
Responsibilities
- Your focus will be on creating an effective abstraction layer and ensuring reliable data flows through partnerships with external entities
- Your deep knowledge of Python, PySpark, Golang, and AWS solutions will be invaluable as we aim for rapid, high-quality results
- This role involves designing APIs, constructing batch data pipelines, and establishing new infrastructure to ensure smooth transitions for future data migrations
- We are looking for a candidate who can harness AI developer tools to boost productivity and meet our delivery standards
- Design and create an abstraction layer for efficiently migrating externally sourced data
- Develop and sustain robust APIs and batch data flows to improve customer experiences and support downstream consumers
- Optimize and construct data pipelines utilizing Python, PySpark, and AWS big data technologies
- Establish secure backend services and cloud infrastructure, primarily using AWS
- Rapidly deliver software increments while ensuring thorough testing, monitoring, and documentation
- Collaborate with cross-functional teams to integrate Personal Loans solutions into our organization
- Leverage AI development tools to enhance code quality, development speed, and maintainability
- Contribute to best practices that promote data engineering excellence, security, and cost-efficiency
Benefits
Skills
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