Data Engineer

Our client is hiring a Data Analytics Engineer to build and scale the data foundation that powers strategic decision-making across the organization. This role blends data engineering, analytics, and automation, enabling teams to access clean, reliable, and actionable data. You’ll work cross-functionally with stakeholders across investing, portfolio management, operations, and leadership to transform business questions into scalable data products—including dashboards, pipelines, and standardized metrics. This is an opportunity to make a measurable impact in a fast-paced, data-driven environment while leveraging modern tools and AI to enhance efficiency and insight generation. Hybrid schedule in Stamford, CT office. Long-term contract-to-hire. What You’ll Do: • Establish and standardize key metrics, data definitions, and reporting logic to create a trusted, unified data source • Identify data gaps and recommend improvements to enhance upstream data quality and processes • Build and maintain scalable data pipelines to ingest, clean, transform, and validate data from multiple sources (CRM systems, portfolio data, operational tools, third-party datasets, etc.) • Design and manage analytical layers, including curated datasets and semantic models, to enable self-service analytics • Develop and operate ETL/ELT workflows, including API integrations, scheduling, monitoring, and data quality checks • Create dashboards and visualizations that translate complex data into clear, actionable insights • Automate recurring reporting and data workflows; apply AI tools to accelerate analysis and improve data operations while ensuring accuracy and control • Collaborate with cross-functional teams to define requirements and deliver scalable data solutions • Clearly communicate data logic, assumptions, and insights to both technical and non-technical audiences What You Bring: • Experience working with data warehouses/lakehouses and building curated datasets for analytics • Strong SQL skills and expertise with relational databases, including end-to-end troubleshooting • Proven experience building and maintaining ETL/ELT pipelines, including orchestration and data validation • Hands-on experience with API integrations and data ingestion frameworks • Ability to design impactful dashboards and data visualizations that support decision-making • A proactive, ownership-driven mindset with strong attention to detail • Comfort working in a fast-paced, evolving environment • Familiarity with crypto markets and on-chain analytics (protocol metrics, wallet/contract activity, etc.) • Experience building scalable semantic layers and documentation • Practical experience using AI tools to enhance analytics and automation, with a strong focus on validation and accuracy If you’re passionate about turning data into insight and building systems that drive real business impact, this is a great opportunity to join a forward-thinking team.