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 sourceIdentify data gaps and recommend improvements to enhance upstream data quality and processesBuild 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 analyticsDevelop and operate ETL/ELT workflows, including API integrations, scheduling, monitoring, and data quality checksCreate dashboards and visualizations that translate complex data into clear, actionable insightsAutomate recurring reporting and data workflows; apply AI tools to accelerate analysis and improve data operations while ensuring accuracy and controlCollaborate with cross-functional teams to define requirements and deliver scalable data solutionsClearly communicate data logic, assumptions, and insights to both technical and non-technical audiencesWhat You Bring:Experience working with data warehouses/lakehouses and building curated datasets for analyticsStrong SQL skills and expertise with relational databases, including end-to-end troubleshootingProven experience building and maintaining ETL/ELT pipelines, including orchestration and data validationHands-on experience with API integrations and data ingestion frameworksAbility to design impactful dashboards and data visualizations that support decision-makingA proactive, ownership-driven mindset with strong attention to detailComfort working in a fast-paced, evolving environmentFamiliarity with crypto markets and on-chain analytics (protocol metrics, wallet/contract activity, etc.)Experience building scalable semantic layers and documentationPractical experience using AI tools to enhance analytics and automation, with a strong focus on validation and accuracyIf 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.