104 jobs for "Data Warehouse Engineer"

IND Lead Engineer, Data

At The Hartford - Hyderabad

Posted on Nov 6

View job Apply on company site

Data Engineer Senior - Data Modeling

At PNC Financial Services Group - Strongsville

Posted on Nov 7

View job Apply on company site

Software Development Engineer Staff

At Equinix - Remote / Flexible

Posted on Nov 5

View job Apply on company site

Site Reliability Engineering Manager

At Apple - Bengaluru

Posted on Oct 19

View job Apply on company site

Data Engineer Senior - Data Modeling

At PNC Financial Services Group - Phoenix

Posted on Nov 7

View job Apply on company site

Staff - GCP Data Engineer

At Equinix - Remote / Flexible

Posted on Oct 27

View job Apply on company site

Senior Data Engineer

At Mastercard - O'Fallon

Posted on Nov 6

View job Apply on company site

Sr. Data Engineer

At Cargill - Atlanta

Posted on Nov 4

View job Apply on company site

Staff Software Engineer (Applied AI)

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Senior Data Engineer

At Cargill - Atlanta

Posted on Oct 30

View job Apply on company site

Engineering Project Manager (SAP Retail Payments Analyst), IS&T Enterprise Systems

At Apple - San Francisco Bay Area

Posted on Oct 19

View job Apply on company site

Data Engineer Senior - Data Modeling

At PNC Financial Services Group - Birmingham

Posted on Nov 7

View job Apply on company site

Principal Data Engineer

At Mastercard - Pune

Posted on Oct 27

View job Apply on company site

Senior Data Engineer - Ag & Trading

At Cargill - Bengaluru

Posted on Oct 30

View job Apply on company site

Staff Engineer - Data

At Xperi - Bangalore

Posted on Oct 27

View job Apply on company site

Business Intelligence Engineer

At DTCC - Hyderabad

Posted on Oct 29

View job Apply on company site

Senior Data Engineer

At Mastercard - Atlanta

Posted on Sep 29

View job Apply on company site

Supply Chain Data Engineer & Integration Manager

At Adyen - Amsterdam

Posted on Oct 1

View job Apply on company site

Big Data Engineer - Data Platform, Global E-Commerce

At TikTok

Posted on Oct 7

View job Apply on company site

Staff Software Engineer | Looker Developer

At Equinix - Remote / Flexible

Posted on Oct 6

View job Apply on company site

The Hartford

IND Lead Engineer, Data

Hyderabad, IndiaPosted 4 days ago

Apply on company site View full job

Why you should apply for a job to The Hartford:

Ranked as one of the Best Companies Where CEOs Support Gender Diversity in 2022
4.5/5 in overall job satisfaction
4.5/5 in supportive management
76% say women are treated fairly and equally to men
87% would recommend this company to other women
90% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

IND - Lead Engineer, Data - GCC063
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.

• Experience in statistical modeling, machine learning, and advanced analytics using Python, including pandas, NumPy, scikit-learn, and strong SQL for complex data exploration, feature engineering, and knowledge preparation; familiarity with PyTorch and/or TensorFlow preferred.

• Experience across the end-to-end modeling and analytics lifecycle, including requirements gathering, experiment design, offline evaluation, and basic production monitoring and validation of AI and BI solutions.

• Solid understanding and practical application of core machine learning, deep learning, and natural language processing algorithms and architectures.

• Experience designing and implementing business intelligence and semantic layer solutions, including dimensional modeling, fact tables, metrics definition, and operating within data warehouse or data lake environments.

• Experience designing and operationalizing evaluation and monitoring strategies, including test set creation (gold and/or synthetic), defining and tracking metrics such as classification, forecasting, ranking/IR, RAG faithfulness and truthfulness, and customer or operational KPIs, with support for A/B testing and drift detection.

• Experience designing, developing, and deploying conversational AI solutions, including chatbots, virtual assistants, intelligent agents, and Retrieval-Augmented Generation (RAG) pipelines.

• Experience working with unstructured data, including document parsing and OCR fundamentals, robust text normalization, metadata and lineage awareness, and PII detection or redaction considerations for insurance documents.

• Experience working with cloud-based AI and analytics platforms such as Google Vertex AI, AWS SageMaker or Bedrock, or Azure AI Services, supporting experimentation, deployment, and conversational AI use cases.

• Experience using Git and Unix-based environments, building reproducible notebooks or pipelines, and applying basic container and cloud concepts to support reliable analytics and AI workflows.

• Experience communicating complex technical designs, trade-offs, evaluation results, and risks to both highly technical and non-technical business audiences, translating insights into clear business outcomes and strategy.

• Foundational knowledge of insurance products, processes (including underwriting, claims, and pricing), and regulatory environments, with demonstrated ability to apply analytics and AI solutions within a regulated industry context.

• Experience with advanced NLP and Generative AI capabilities, including embeddings, hybrid and dense retrieval strategies, advanced chunking, prompt engineering, structured outputs, and integrating knowledge graphs into RAG solutions for improved grounding.

• Experience or exposure to advanced GenAI applications in insurance, such as compliance-aware prompt engineering, document generation, objection response automation, synthetic data generation for low-frequency events, and customer sentiment modeling from surveys, call transcripts, or inspection notes.

• Experience working within enterprise AI governance frameworks, aligning conversational AI and analytics solutions with compliance, privacy, documentation, and ethical standards.

About The Hartford

We focus on innovation, inclusion, equity and flexibility – and are committed to giving our employees what they need to achieve amazing things.

Size: 10,000+ employees
Industry: Insurance: Property & Casualty

View company profile