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Insurance Data Processing Jobs in New York (NOW HIRING)

iShare Inc

Metadata Developer

Manhattan, NY · Remote

$115K/yr

... Insurance environment. The ideal candidate will be responsible for developing, configuring, and ... Design and implement metadata ingestion and integration processes across enterprise data platforms

Turner Construction

Insurance Specialist HQ

Manhattan, NY · On-site

$85K - $100K/yr

Insurance and Claims Compensation: Salaried Exempt Location: Position can be performed from any US ... Analytical and adept at processing and breaking down data into actionable information * Self ...

Brookfield

Sr P&C Data Scientist

New York, NY · On-site

Stay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insurance * Proactively identify opportunities to improve models, processes, data usage, and ...

TURNER

Insurance Specialist HQ

Manhattan, NY · On-site

$85K - $100K/yr

Analytical and adept at processing and breaking down data into actionable information * Self ... insurance-based risk management information systems * Limited travel Physical Demands: * While ...

Fubo

Software Engineer, Data Engineering

New York, NY · On-site

$190K/yr

Data Processing Framework: Apache Beam, Scio * Streaming: Apache Kafka, Google Pub/Sub ... Robust benefit package including Health/Dental/Vision coverage 401k, Life Insurance, and commuter ...

Fubo

Software Engineer, Data Engineering

New York, NY · Hybrid

$190K/yr

Data Processing Framework: Apache Beam, Scio * Streaming: Apache Kafka, Google Pub/Sub ... Robust benefit package including Health/Dental/Vision coverage 401k, Life Insurance, and commuter ...

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$160K - $180K/yr

Expansion phase, a lot of work, not a lot of process. * No enablement team. If the PoC template ... Experience selling into regulated industries - financial services, pharma, energy, insurance * Data ...

Oscar Health

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

... or data processing Bonus points: * Master's degree in a quantitative or technical field * Knowledge of or previous work experience in health care or health insurance * Experience mentoring or ...

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Showing results 41-60

All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in New York

Insurance Data Processing information

What is insurance data processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What are the key skills and qualifications needed to thrive as an insurance data processing specialist?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an insurance data processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What are popular job titles related to Insurance Data Processing jobs in New York?

For Insurance Data Processing jobs in New York, the most frequently searched job titles are:

What job categories do people searching Insurance Data Processing jobs in New York look for?

The top searched job categories for Insurance Data Processing jobs in New York are:

What cities in New York are hiring for Insurance Data Processing jobs?

Cities in New York with the most Insurance Data Processing job openings:

Insurance Data Processing jobs near you

Snowflake Lead Data Engineering

Tata Consultancy Service Limited

New York, NY • On-site

$110K - $130K/yr

Full-time

Posted 23 days ago

Job description

Must Have Technical/Functional Skills
Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL
Roles & Responsibilities
The Snowflake Lead will serve as the onsite technical lead for CLEARBROOK s enterprise data platform, responsible for end to end Snowflake solution design, development leadership, and AI/advanced analytics enablement. The role requires deep hands on expertise in Snowflake, strong data engineering fundamentals, and the ability to integrate AI/ML driven use cases into the Snowflake ecosystem while coordinating with offshore teams.
Snowflake Production Support
• Perform root cause analysis for job failures and data analysis & fixes
• Perform Month End Closing Activities
Snowflake Development & Architecture
• Lead design and development of Snowflake schemas, tables, views, streams, tasks, and Snowpipes
• Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning)
• Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level security
• Oversee promotion of code across environments using CI/CD practices
Data Engineering & Integration
• Lead development of batch and near real time ingestion pipelines using Talend / Qlik Replicate / Snowpipe
• Ensure data quality checks, reconciliation, and schema drift handling
• Guide integration from insurance source systems (Policy, Claims, Billing, Reinsurance) into Snowflake
• Provide technical oversight for SQL, Python, and ELT based transformations
AI / Advanced Analytics Enablement
• Enable AI/ML use cases on Snowflake, including:
o Feature engineering datasets for ML models
o Snowpark (Python)based data processing
o Integration with external ML platforms (Databricks / SageMaker / Azure ML where applicable)
• Support AI driven insights such as:
o Claims triage & risk scoring
o Fraud detection inputs
o Premium leakage and pricing analytics
• Guide teams in using Python, SQL, and Snowflake native capabilities for data science workloads
Core Technical Skills
• Snowflake: Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks
• Data Engineering: ELT/ETL patterns, data modeling, CDC concepts
• Python: Data processing, automation, Snowpark (preferred)
• Strong understanding of cloud data platform architecture (AWS preferred)
AI / Analytics Skills
• Hands on exposure to AI/ML pipelines (feature preparation, training data creation)
• Experience supporting ML models through data engineering and operationalization
• Familiarity with Python ML libraries (scikit learn, pandas, NumPy) applied from a data engineering perspective
• Understanding of model lifecycle support (data refresh, monitoring, retraining inputs)
Domain & Soft Skills
• Insurance domain experience (P&C / Specialty Insurance strongly preferred)
• Strong communication skills for onsite customer interaction
• Ability to translate business requirements into scalable data & AI solutions
Salary Range: $110,000 to $130,000 per year

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