Senior Data Engineer

OnCorps, Inc. • Boston, MA

39d • Hybrid

About The Position

OnCorps AI is a trailblazer in the financial services sector, leveraging advanced AI and machine learning to revolutionize the industry. Our innovative solutions empower financial institutions to boost efficiency, security, and customer satisfaction, all while working toward our mission of reshaping financial services through technology. We are looking for an experienced Senior Data Engineer to design, implement and manage robust data pipelines and architecture, ensuring secure and scalable data solutions for our clients.

Requirements

• 4+ years of relevant experience in data engineering or a related technical field.
• Strong proficiency in Python, PySpark, SQL and database systems (relational and NoSQL)
• Experience with serialized data (JSON, YAML) and strong REST API skills
• Understanding of data pipelines and transformations (e.g., filtering, aggregation)
• Experience with Databricks, including configuring and running jobs
• Proven ability to quickly learn new technologies and concepts
• Comfortable working in fast-paced environments and meeting tight deadlines
• U.S. based with work authorization

Nice To Haves

• Preferred experience in middle and/or back-office operations within the financial industry or fund administration
• Experience working with LLM tooling (LangChain, Claude Code, etc.) is a plus.

Responsibilities

• Serve as an owner of highly performant ETL/ELT data pipelines, leveraging Python, PySpark and SQL to ensure data integrity and system scalability
• Act as a key technical partner to financial services clients, translating complex data feed and mapping requirements into actionable technical specifications and owning end to end integrations from POC to production
• Establish and maintain comprehensive documentation for all data flows and operational practices
• Develop and manage robust, scalable data models that serve as the foundation for company-wide analytics and reporting
• Configure client-facing applications to align with documented business and technical requirements
• Collaborate with other data team members to integrate LLM workflows into data pipelines
• Collaborate cross-functionally with Product, Data Science, Customer Success, and Engineering teams to drive the delivery of innovative data solutions that directly contribute to strategic business objectives

Benefits

• Innovative Environment: Work with cutting-edge AI and machine learning technologies in a company that is at the forefront of financial services innovation.
• Growth Opportunities: As a rapidly growing startup, we offer significant opportunities for professional development and career advancement.
• Collaborative Culture: Be part of a collaborative and inclusive team where your ideas are valued, and your contributions make a real impact.
• Work-Life Balance: Enjoy the flexibility of a hybrid working environment, allowing you to balance your professional and personal life effectively.
• Competitive Compensation: We offer a competitive salary and a comprehensive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed