Data Engineer Jobs in Connecticut, United States

The Hartford's Technology, Data, AI, and Operations organization runs the Tech & Data Program Summer 2027, seeking a Data Engineer Intern to help build and support data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights. Day-to-day work includes designing and supporting data workflows, applying Python, SQL, ETL/ELT, and cloud technologies, ensuring data quality, and collaborating with cross-functional teams.

In EY’s Office of the CTO, the Advanced Forward Engineering (AFE) team deploys AI‑native systems into highly regulated client environments such as tax, finance, and risk. As an AFE Data Engineer, you serve as the data owner within forward‑deployed delivery pods, designing ingestion, transformation, and access patterns that integrate enterprise AI with legacy data sources while ensuring governance, security, and lineage compliance.

Data Engineering team at Tiger Analytics builds AI‑powered data platforms for Fortune 100 clients. The role designs and implements scalable ELT/ETL pipelines on GCP, manages real‑time processing with Pub/Sub, and automates infrastructure using Terraform and Kubernetes.

Travelers, a leading property casualty insurer, seeks a Senior Data Engineer to join its Hartford-based Data Engineering team. The role focuses on building and operationalizing complex data solutions, designing pipelines that integrate new data sources, and ensuring data governance, security, and quality.

Data Engineering team at Tiger Analytics builds scalable data pipelines and infrastructure to unlock business value from unstructured data. The engineer designs, implements, and maintains cloud-native ETL/ELT processes on Snowflake and GCP, integrating AI tools like OCR and NLP to transform raw data into actionable insights.

Data Quality Engineering team at Kemper builds enterprise data validation frameworks to ensure accuracy and reliability of critical data solutions. The role designs and automates testing pipelines using SQL, Informatica, Snowflake, Python and AI‑assisted tools, embeds quality controls into ETL/ELT processes, and supports test environment strategy across cloud and on‑premise platforms.

Enterprise Data Services at The Hartford builds next‑generation metadata‑driven data platforms. The GCP Data Engineer designs and implements scalable data pipelines, governance automation, and AI‑assisted development tools on Google Cloud.

Data Engineer at W.R. Berkley to design, build, and operate data platforms supporting actuaries, analytics, modeling, and AI workflows. Responsibilities include writing production‑quality code for ingestion, transformation, orchestration, and monitoring; building scalable pipelines (batch or distributed, e.g., Spark‑based); partnering with analytics and AI teams; applying AI‑assisted engineering (LLM tools, agents) to improve quality and observability; identifying bottlenecks and designing resil

Infosys is hiring an AWS Python Data Engineer (Technology Consultant 2) to contribute to requirements elicitation, software design, and hands-on development across the full SDLC. Day-to-day work includes coding and integrating features, conducting code reviews, implementing test strategies, troubleshooting production issues, and maintaining documentation and knowledge bases.

Join The Hartford as a Senior AI Data Engineer to help shape the next generation of actuarial analytics. You will build modern, agentic data solutions combining ThoughtSpot, Snowflake, semantic data assets, and AI-powered analytics to help actuaries move faster from data to insight to action.

Data Engineer role based in Hartford, Connecticut, United States, working in a Hybrid model. The position focuses on Lakehouse modernization initiatives and building data governance and quality solutions.

Technology team at Trexquant builds the core data infrastructure for its quantitative research platform. The Senior Data Engineer designs, builds and maintains scalable ingestion pipelines and data storage solutions for multi‑asset financial datasets, collaborating closely with researchers and platform engineers.

At Curaleaf, a leading global cannabis provider, the Data Visualization Engineer designs and optimizes dashboards and reporting tools that translate complex data into clear, actionable insights. Based in Stamford, CT, this role focuses on developing, maintaining, and enhancing Omni-based reporting solutions across the organization while collaborating with data and product owners to ensure data accuracy and standardization.

CVS Health is seeking a Data Engineer to join a data engineering team responsible for processing payer files into the company's Data Warehouse. The role involves designing, integrating, and implementing modern data solutions on-premise while supporting migrations of existing workloads to the cloud, collaborating with engineering, analysts, data scientists, and product teams in an agile environment.

Data Platform Engineering team at United Rentals builds and maintains the Snowflake data platform that powers the enterprise’s BI and AI ecosystem. The Senior Analyst administers Snowflake, designs and operates data pipelines, and enables AI agents like Claude and ChatGPT across the organization.

Digital Envoy, Inc. is hiring a Senior Data Engineer to support the development and maintenance of sustainable data integration pipelines for its IP geolocation and VPN Intelligence products, including Matchbook and LocID. Day-to-day work involves designing and building customer-facing data products with PySpark on AWS EMR, orchestrating Airflow workflows, delivering data across AWS S3, Snowflake, and Google Cloud Storage, and developing Python/Spark/PostGIS tooling for spatial data.

Chubb is seeking a VP, Principal Data Engineer to set engineering direction for the North America Finance & Actuarial and Corporate Data platforms, supporting financial, actuarial, claims, regulatory, underwriting, and executive decision-making. Day-to-day, you will define and drive engineering standards, architect no-touch data pipelines and integrations, embed AI-assisted development and modern DevOps practices, and provide hands-on technical leadership on complex cloud migration and ETL moder

Senior Data & AI Engineer at Travelers. Build and operationalize complex data solutions, design scalable cloud-native pipelines using AWS and Databricks, load into Snowflake, build analytics pipelines with dbt, deploy multi‑agent AI applications, integrate structured and unstructured data, apply LLM APIs, RAG patterns, and vector databases. Lead team growth, mentor peers, and collaborate across business units to deliver data‑driven insights.

Travelers Data Engineering team builds enterprise-wide data pipelines that enable analytics, business intelligence and AI/ML insights. As a Data Engineer I you will design, develop and operationalize complex data solutions on Databricks and SQL, collaborate with stakeholders and ensure data quality and governance.