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Insurance Data Processing Jobs in New York (NOW HIRING)

Hebbia

Data Engineer

New York, NY · On-site

$190K - $250K/yr

Familiar with big data processing frameworks (e.g., Spark, Hadoop) and data integration ... Unlimited Insurance: Medical + Dental + Vision + 401K + Wellness Benefits Eats: Catered lunch daily ...

MetroPlusHealth

Data Scientist

Manhattan, NY · On-site

$128K - $138K/yr

This position will assess, maintain, and enhance existing data process and reporting routines and ... Health care insurance background is required. * 3-5 years required experience in progressively ...

MetroPlusHealth

Data Scientist

Manhattan, NY · On-site

$128K - $138K/yr

This position will assess, maintain, and enhance existing data process and reporting routines and ... Health care insurance background is required. * 3-5 years required experience in progressively ...

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 ...

AIG

Senior Manager - Data Engineering

Jersey City, NJ · On-site

AIG is a global leader in commercial and personal insurance solutions, committed to innovative ways ... of data processing across other projects to reduce rework, streamline joint efforts, enlarge ...

Oscar Health

Senior Data Scientist

New York, NY · Hybrid

$163K - $215K/yr

... data processing Bonus points: * Advanced degree in a quantitative or technical field * Experience in the healthcare, finance and/or insurance industries * Experience evaluating consumer-facing ...

Authentic

Software Engineer - Data

New York, NY · On-site

$125K - $150K/yr

Authentic helps insurance brokers create better insurance products for their clients. We provide ... Experience with Python for data processing and pipeline development * Solid understanding of data ...

Garner Health

Data Engineer II

New York, NY

$166K - $205K/yr

... processing, data warehousing, data governance, Big Data, data variance, data privacy, and data ... Familiarity with healthcare or insurance * Familiarity with data security and HIPPA compliance * A ...

Acap

Senior Data Modeling Engineer

New York, NY · On-site

$116K - $157K/yr

Experience within the insurance or financial services industry, including hands-on exposure to annuity products, annuity administration data, and related business processes. * 5+ years of experience ...

Talkspace Corporate

Senior Data Engineer

New York, NY · On-site

$146K - $180K/yr

This involves managing ETL/ELT processes, optimizing database systems for performance and ... or pet insurance, etc. * Monthly Wellness Stipend to promote mental and physical self-care

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All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in New York

Insurance Data Processing information

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 highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO), Chief Underwriting Officer, or Chief Risk Officer tend to be the highest paid positions, often earning six-figure salaries plus bonuses. These roles require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy, underwriting, and risk management functions.

What does a data analyst do in an insurance company?

A data analyst in an insurance company collects, processes, and analyzes large datasets to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, claims processing, and pricing strategies.

What is the highest paid job in insurance?

In insurance, executive roles such as Chief Underwriting Officer or Chief Risk Officer tend to be the highest paid, often earning six-figure salaries plus bonuses. These positions require extensive industry experience, leadership skills, and often advanced certifications like CPCU or ARM.

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 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 is the highest paying data entry job?

In the field of insurance data processing, senior or specialized roles such as data analysts or claims processors tend to have higher salaries, especially those with advanced skills in database management, data analysis tools, or certifications. These positions often require experience and technical proficiency, leading to higher compensation compared to entry-level data entry roles.

What are the key skills and qualifications needed to thrive as an Insurance Data Processing Specialist, and why are they important?

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 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

Azure Data Engineer

Futran Tech Solutions Pvt. Ltd.

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Posted 6 days ago

Job description

Azure Data Engineer
New York, NY 10017
Azure Cloud Expertise:
  • Design, implement, and optimize data solutions on the Azure cloud platform, ensuring scalability, security, and performance.

Azure Data Factory and Databricks:
  • Develop and maintain data pipelines using Azure Data Factory for efficient and reliable data movement.
  • Leverage Azure Databricks for analytics and data exploration

SQL and DBT:
  • Design and optimize SQL-based queries for data extraction, transformation, and loading processes.
  • Implement and manage DBT (Data Build Tool) workflows to transform raw data into meaningful insights, ensuring data quality and consistency.

Data Architecture and Modeling:
  • Collaborate with data architects to design and implement scalable and maintainable data models.
  • Ensure adherence to data governance and compliance standards in data modeling and architecture.

Performance Optimization:
  • Identify and address performance bottlenecks in data pipelines and database queries.
  • Implement strategies to optimize data processing and reduce latency in data delivery.

Collaboration and Documentation:
  • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.
  • Document data engineering processes, data flows, and architecture to facilitate knowledge transfer and ensure maintainability.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer with a focus on Azure cloud technologies.
  • Strong proficiency in Azure Data Factory, Azure Databricks, SQL, and DBT.
  • 10+ years in the data and analytics space with experience in designing and implementing scalable and robust data architectures.
  • Excellent problem-solving skills and the ability to troubleshoot complex data issues.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
  • Relevant certifications in Azure cloud technologies are a plus.
  • Nice to have:
    • Python
    • (Re)Insurance industry experience

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