Senior Data Engineer

Fulltime with Infinite Computer Solutions We are seeking an experienced Senior Data Engineer to design, build, and scale enterprise data platforms supporting investment management functions across Private Credit, Structured Credit, Private Equity, and Insurance . Key Responsibilities Design, develop, and maintain enterprise data warehouses, ETL/ELT pipelines , and data integrations. Build scalable data solutions using Snowflake, Python, SQL, dbt, and Azure . Develop and support Arcesium ETL pipelines and integrate data from Arcesium and other investment platforms. Integrate data from REST APIs, SharePoint, Bloomberg, Refinitiv , and other third‑party data providers. Build reporting, semantic data models, and dashboards using Power BI, Tableau, Looker, or Sigma . Ensure data quality, governance, reliability, and operational stability. Automate workflows and support AI/LLM-enabled data initiatives. Partner with business and technology stakeholders to deliver end‑to‑end data solutions. Required Qualifications 8+ years of experience in Data Engineering . Strong expertise in Python, SQL, Snowflake, dbt, ETL/ELT, and Azure . Hands‑on experience with Arcesium ETL or Arcesium data platform implementations and integrations. Experience with REST APIs , enterprise data integration, and data warehousing. Experience building reporting solutions using Power BI, Tableau, Looker, or Sigma . Background in Asset Management, Private Credit, Private Equity, Capital Markets, or Financial Services . Preferred Qualifications Experience with Databricks, Azure Functions, Azure API Management, or Microsoft Entra ID . Knowledge of LLMs, Retrieval-Augmented Generation (RAG), or AI/ML applications in data engineering. Familiarity with Bloomberg, Refinitiv, PitchBook, Preqin , or other market data platforms. Experience with Portfolio Management, Investment Accounting, or Investment Book of Record (IBOR) systems. #J-18808-Ljbffr