Data & AI Engineering Professionals (Data Engineering, Analytics, AI/ML & Reliability Engineering)

On-siteMidData Engineerposted 5d ago

✦Role summaryAI-generated

The Data Engineer role at Hartford Financial Services Group focuses on building and maintaining scalable data pipelines using PySpark, Snowflake, and Databricks across GCP and AWS environments. Candidates will design ETL/ELT workflows, integrate RAG and Vertex AI services, and collaborate with stakeholders to deliver reliable data solutions.

About this role

IND Evergreen Requisition - GCC141

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Data Engineer (2 to 12 Years) - Data Engineering, Pyspark, Snowflake/Databricks, ETL/ELT, GCP/AWS, RAG, Vertex AI
Data Analyst (2 to 9 Years) - Data Analysis, SQL, Python, Stakeholder Management
Data Reliability Engineer (2 to 9 Years) - Data Reliability, SRE, Snowflake, AWS/GCP, Informatica, Python/Pyspark, EMR/Hadoop
AWS EMR Engineer (6 to 9 Years) - Bigdata Platforms, Hadoop. AWS EMR, Platform Administration, AWS Services
AI/ML Engineer (2 to 12 Years) - AI/ML, Generative AI & Agentic AI Solutions, RAG, Python, FastAPI, GCP, Vertex AI
Applied AI Scientist (2 to 12 Years) - Applied AI, Statistical Modelling, Machine Learning, Python, Scikit Learn, SQL, PyTorch, GCP, Vertex AI
Site Reliability Engineer (6 to 9 Years) - SRE, Terraform, AWS/GCP, ML/AI Platforms, Python to build automation tools

About Us | Our Culture | What It’s Like to Work Here

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