Hybrid Solutions Data Engineer

Posted last month

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About the role

  • Solutions Data Engineer designing data pipelines for financial services using AI and machine learning. Collaborating with cross-functional teams to deliver innovative data solutions in a hybrid work environment.

Responsibilities

  • Serve 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
  • Lead the design and implementation of highly performant ETL/ELT data pipelines, leveraging Python and SQL to ensure data integrity and system scalability
  • 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 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, 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.

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.

Job title

Solutions Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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