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OnCorps

Senior Data Engineer

Reposted 5 Days Ago
Hybrid
Boston, MA, USA
Senior level
Hybrid
Boston, MA, USA
Senior level
Design and manage ETL/ELT data pipelines using Python, PySpark, and SQL, collaborating with cross-functional teams to deliver data solutions.
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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.

Key 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

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
  • 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.


Why You Should Join Us

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.

Apply today and be a part of the future of financial services technology!


If you are passionate about solutions engineering and eager to work in a cutting-edge AI-driven company, we would love to hear from you!

OnCorps LLC is an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, pregnancy, age, marital status, veteran status, or disability status. We provide reasonable accommodations for persons with disabilities. Applicants with equal employment opportunity questions should contact OnCorps at [email protected] or (617) 286-4448. Retaliation against applicants raising EEO issues is prohibited.

HQ

OnCorps Boston, Massachusetts, USA Office

116 Huntington Ave, Boston, MA, United States, 02116

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