Data Engineer Jobs in Stamford, CT

Designs and optimizes AI and machine learning solutions, transforms data into insights, and develops production AI systems. Responsibilities include building data infrastructure, speech recognition and NLP tools, and reusable evaluation and monitoring capabilities. The role independently tests AI systems for performance, robustness, bias, explainability, and failure modes; evaluates technical controls; documents findings; communicates recommendations to clients; and mentors junior team members.

Leads the design, development, testing, and evaluation of AI and machine learning solutions. Directs data analysis, modeling, infrastructure, monitoring, and integration efforts while establishing standards for AI robustness, bias, explainability, failure modes, and technical controls. Manages large projects, advises clients, coaches teams, and develops reusable evaluation tools and evidence workflows for responsible AI deployment.

Design and deploy AI systems and machine learning models, perform data wrangling and analysis, and integrate solutions into data infrastructure. Develop scalable AI applications, relational data systems, evaluation tools, automated tests, and monitoring capabilities. Assess AI behavior, robustness, bias, explainability, drift, hallucinations, and guardrails while evaluating technical controls and communicating findings to clients and stakeholders.

Develop and implement AI and machine learning solutions, including algorithms, data models, infrastructure, evaluation tools, automated tests, monitoring, and responsible AI controls. Lead testing for robustness, bias, drift, explainability, hallucinations, and failure modes. Manage client accounts and technical workstreams, review evidence and controls, communicate trade-offs, mentor teams, and maintain delivery and professional standards.

Design and build end-to-end data pipelines and analytics in Microsoft Fabric, develop Power BI semantic models and dashboards, ensure data governance and quality, enable business stakeholders, and optimize performance and adoption across merchandising, supply chain, stores, and omnichannel.

The Data Engineer will analyze, develop, implement, test, and support data warehouse projects. Responsibilities include project support, data validation, and enhancing data management processes, all while collaborating with team members and improving performance.

Leads architecture and engineering standards for Curaleaf’s data and analytics ecosystem. Designs scalable Snowflake environments, ingestion and transformation pipelines, data models, semantic layers, governance, testing, CI/CD, security, and cost optimization. Partners across engineering, analytics, data science, governance, and business teams to build reusable data products, resolve incidents, improve platform reliability, and provide technical direction and mentoring without direct people management.

Design and implement enterprise data security architectures focused on databases (SQL Server), Databricks, and object storage. Develop encryption, IAM, DLP, IRM/DRM, tokenization, and SecOps controls; secure data pipelines, perform vulnerability assessments, automate security tasks, and maintain policies and documentation while collaborating with development teams.

Design, build, and maintain scalable ingestion, normalization, validation, storage, and lifecycle management of large-scale market and alternative datasets. Develop Python- and SQL-based pipelines, monitoring, and tooling to ensure research-ready, high-quality data across multiple asset classes while collaborating with researchers and infrastructure teams.

The Data Operations Engineer will monitor and optimize trading processes, enhance integration and deployment pipelines, ensure quality control, and lead continuous improvement initiatives while documenting and reporting on production performance.