Data Engineer
Job description
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Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold tables, primarily for our Machine Learning (ML) team, utilizing Snowflake and Databricks platforms. The role demands expertise in Python, deep familiarity with financial data sources, and the ability to deploy complex data pipelines efficiently. This position requires a proactive approach to analyzing, aggregating, and enriching financial data from both private and public companies. Primary Responsibilities Build, scale, and maintain robust data solutions to support the firm's objectives. Implement and optimize high-performance data pipelines -- extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed. Lead
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Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold tables, primarily for our Machine Learning (ML) team, utilizing Snowflake and Databricks platforms. The role demands expertise in Python, deep familiarity with financial data sources, and the ability to deploy complex data pipelines efficiently. This position requires a proactive approach to analyzing, aggregating, and enriching financial data from both private and public companies. Primary Responsibilities Build, scale, and maintain robust data solutions to support the firm's objectives. Implement and optimize high-performance data pipelines -- extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed. Lead software development projects end to end involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies. Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production. Implement rigorous testing and monitoring practices to ma [... source excerpt omitted ...] tering a culture of excellence and continuous learning within the team. Be willing to travel up to 20% of the time to collaborate with distributed team members across locations. Requirements Education & Certificates A bachelor's degree, required Concentration in Computer Science, Math, Physics, STEM or other engineering related field, preferred Professional Experience At least 6 years of experience in data engineering or a related discipline, with a proven track record of success, required Experience in the financial services or private equity industry, preferred Competencies & Attributes Expertise in Python and SQL, with a strong foundation in data manipulation and analysi
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