Top Senior Data Engineer Jobs in Hartford, CT

As a Data Engineer, you'll design data models, build data pipelines, implement AI capabilities, and ensure data quality for analytics. You'll collaborate with stakeholders to deliver robust datasets and support cross-functional strategies using advanced data tools.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Data Engineer, you will design data pipelines, manage databases, optimize data workflows, ensure data integrity, and collaborate with cross-functional teams on data-driven solutions.

As a Data Engineer II, you will build complex data solutions, ensure data quality, collaborate with teams, and lead projects to enhance analytics capabilities.

The Principal Data Engineer will design and optimize data pipelines, mentor team members, develop data products, and ensure data integrity while collaborating across teams.

The Data Engineer II will design, build, and deploy data solutions that enable organization-wide access to data, supporting AI, Machine Learning, and business intelligence. Responsibilities include creating data pipelines, ensuring data quality, and collaborating with teams to enhance data products.

Design, build, and operationalize data and ML pipelines on Databricks. Implement CI/CD and infrastructure-as-code, ensure data quality/governance, troubleshoot incidents, and collaborate cross-functionally to enable reproducible ML lifecycle and deployments.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Senior Data Engineer develops and maintains data pipelines, evaluates business requirements, integrates data, ensures quality, and collaborates with teams to fulfill data infrastructure needs.

The Data Engineer will build and operationalize data solutions, design complex data systems, collaborate across teams, and ensure high-quality data management.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Principal Data Engineer will lead the Data Resolution team, focusing on complex data challenges using Spark, system architecture, and mentorship, to optimize graph data pipelines.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.

The Lead Data Consultant will design and deliver scalable data solutions, manage project teams, and optimize client data environments, ensuring effective project execution and communication.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Senior Data Engineer will architect, build, and maintain scalable data pipelines and infrastructure, mentor junior engineers, and collaborate on data solutions for Openly's insurance platform.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

The Data Engineer will build and maintain data pipelines, ensuring high-quality and scalable data systems while working on analytics and machine learning accessibility.

As a Data Engineer, you will develop and optimize data solutions, manage data pipelines, and support analytics needs through collaboration and problem-solving.

As a Data Engineer, you'll build data solutions, support analytics, and ensure data quality while collaborating across teams to optimize data management.

The Staff Data Engineer will build and optimize data pipelines, influence architectural decisions, and support data governance for claims data management. They will work with cloud platforms and big data technologies to ensure high-quality data products.