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Insurance Data Engineer Jobs in Rensselaer, NY (NOW HIRING)

Database Engineer III

Schenectady, NY ยท On-site

$56.40/hr

... telecom, insurance, healthcare, manufacturing, banking & financial services, food & commodities ... Desired Characteristics Strong knowledge of SQL and retrieving data from relational database ...

Senior Structural Engineer

Albany, NY

$99K - $135K/yr

... Vision insurance #LI-ANS Ready to join us? If you're passionate about clean energy design, precision engineering, and turning data into impact, we want to meet you! Join us in shaping the next ...

Apply Early

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Project Engineer

Albany, NY ยท On-site

$85K - $132K/yr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Data Product Manager

Schenectady, NY ยท On-site

$100K - $140K/yr

Partner with Engineering teams to ensure foundational capabilities support domain needs ... Free Health Insurance Option for all (Single, 2 - Party and Family) * 401k Safe Harbor Plan

Data Product Manager

Schenectady, NY ยท On-site +1

$100K - $140K/yr

Partner with Engineering teams to ensure foundational capabilities support domain needs ... Free Health Insurance Option for all (Single, 2 - Party and Family) * 401k Safe Harbor Plan

We're allergic to bureaucracy, thrive on innovation, and embrace data-driven decisions. If you love ... ANS Offers the following benefits to full-time employees: 401(k) matching Dental insurance Health ...

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Senior Structural Engineer

Albany, NY ยท On-site

$110K - $152K/yr

... Vision insurance #LI-ANS Ready to join us? If you're passionate about clean energy design, precision engineering, and turning data into impact, we want to meet you! Join us in shaping the next ...

We're allergic to bureaucracy, thrive on innovation, and embrace data-driven decisions. If you love ... insurance Health insurance Life insurance Unlimited Paid time off Professional development ...

Principal Engineer

Pittsfield, MA ยท On-site

$125K - $165K/yr

LiDAR and aerial photo data * Utilization of wetlands, vernal pool and sensitive resource data in ... Health/Dental Insurance * 401k Plan with Employer Match * Short & Long Term Disability * Profit ...

Develop automated data analysis pipelines and reporting dashboards * Contribute to technical ... Post-Retirement Health Insurance * Employer contribution of 7% of earnings to a Basic Retirement ...

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Principal Engineer

Pittsfield, MA ยท On-site

$125K - $165K/yr

LiDAR and aerial photo data * Utilization of wetlands, vernal pool and sensitive resource data in ... Health/Dental Insurance * 401k Plan with Employer Match * Short & Long Term Disability * Profit ...

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Insurance Data Engineer information

See Rensselaer, NY salary details

$44.2K

$128.8K

$176.2K

How much do insurance data engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for insurance data engineer in Rensselaer, NY is $128,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

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

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What job categories do people searching Insurance Data Engineer jobs in Rensselaer, NY look for? The top searched job categories for Insurance Data Engineer jobs in Rensselaer, NY are:
What cities near Rensselaer, NY are hiring for Insurance Data Engineer jobs? Cities near Rensselaer, NY with the most Insurance Data Engineer job openings:

Data Steward (Director Financial Services Programs 2, SG-33)

StateJobsNY

Albany, NY โ€ข On-site

$145K - $176K/yr

Full-time

Medical, Life, Retirement

Posted 16 days ago


Job description

Duties Description The New York State Department of Financial Services seeks to build an equitable, transparent, and resilient financial system that benefits individuals and supports business. Through engagement, data-driven regulation and policy, and operational excellence, the Department and its employees are responsible for empowering consumers and protecting them from financial harm; ensuring the health of the entities we regulate; driving economic growth in New York through responsible innovation; and preserving the stability of the global financial system.
The Data Stewards in the Consumer Protection & Financial Enforcement Division (CPFED) are an integral part of the data governance program at DFS. They are responsible for working within CPFED and collaborating with the enterprise Data Governance and Management Unit, Technology Bureau, and others, to drive multiple data governance capabilities, including data quality, data cataloging, etc. This role plays a critical part in driving transformation of data, business processes and practices within the Division in alignment with the overall enterprise-wide strategy. Duties include, but are not limited to:
โ€ข Operationalizes key data governance capabilities and processes;
โ€ข Contributes to data governance forums;
โ€ข Leads data quality issue remediation and other data quality activities within the Division;
โ€ข Builds data quality tooling capabilities (i.e. data quality checks on ingested data), drive adoption of data quality framework and guidelines;
โ€ข Develops Divisional data and business glossaries and drives adoption of data cataloguing guidelines and best practices;
โ€ข Creates data flow documentation/lineage for key systems;
โ€ข Creates trusted (authoritative) datasets and drives implementation of related workflows/approval processes;
โ€ข Collaborates with the enterprise Data Governance and Management Unit to drive implementation of data platforms and/or solutions;
โ€ข Collaborates with the enterprise Data Governance and Management Unit on decision making processes and facilitates discussions to address conflicting viewpoints with the goal of arriving at mutually satisfactory agreements;
โ€ข Contributes to enterprise data governance program's metrics and reporting, and lead adoption of data governance metrics/reporting within Division;
โ€ข Drives progression of Divisional data initiatives and/or projects;
โ€ข Serves as subject matter expert (SME) for data and its uses within Division; and
โ€ข Other duties as assigned.
Minimum Qualifications Preferred Qualifications
Managerial experience in one or more of the following:
โ€ข Data Governance or Data Management, Data Stewardship, Data Analytics, Statistical or actuarial analysis, Data and/or Information Security, Metrics and Reporting, Internal Controls and Process Re-engineering, Financial Risk Management, Project Management
Appointment Method:
Candidates must meet the minimum qualifications listed below in order to be eligible for appointment.
Non-Competitive: Twelve years of financial services experience** with EITHER a regulated entity who has a regional, national, and/or international presence; OR a governmental regulatory entity. This experience must include practical and technical knowledge about State, federal and/or international financial services laws, rules and regulations. Three years of the experience must have been at a managerial level.
Substitutions: An associate degree may substitute for two years of experience; a bachelor's degree may substitute for four years of experience; a master's degree may substitute for five years of experience; and a doctorate may substitute for six years of experience.
** Qualifying professional financial services experience is defined to include, but may not be limited to related experience gained with public accounting/auditing firms; cyber security and intrusion detection/mitigation firms; law firms, lobbying firms and consulting firms/companies; risk assessment, asset hedging and loss control firms; commodities markets, virtual currency and credit scoring; currency markets/exchanges, bond markets, stock markets and money markets; hedge funds, mutual funds, investment houses and rating firms; business valuation, stock valuation, and cash management; wealth management, wealth portfolio, and trust companies/corporations; firms with a nexus to corporate mergers, acquisitions, management and accounting; mortgage backed securities, swaps and swap valuation; underwriting, policyholder services and claims services; workers' compensation, income protection plans, gap insurance and liability coverage; property/casualty insurance, life insurance and health insurance; retirement/savings plans such as social security, pension plans, Roth IRA, 527 Plans, 401(k) Plans, 403(b) Plans, annuities and related income tax savings vehicles; fair lending practices and urban analysis; public finance/financial management and taxation, central bank, tax, tariff and trade; and monetary policy, monetary reform and investment theory.
Additional Comments Please note that a change in negotiating unit may affect your salary, insurance and other benefits.
Salary: The starting salary for this position is $145,754 with periodic increases up to $176,123
Positions located within the New York City metropolitan area, as well as Suffolk, Nassau, Rockland, and Westchester Counties, are also eligible to receive an additional $4,000 annual downstate adjustment.
Appointment Status: Permanent
Appointment to this position is pending Governor Appointment's Office and Division of Budget approval.
Some positions may require additional credentials or a background check to verify your identity.
Name Nate Keiper
Telephone
Fax (518) 402-5071
Email Address NCE.Notifications@dfs.ny.gov
Address
Street One Commerce Plaza
Suite 301
City Albany
State NY
Zip Code 12257
Notes on Applying To Apply: Interested qualified candidates must submit a resume and letter of interest no later than July 31, 2026 to the email address listed below. Please include the Box # (Box DS-DFSP2-21083) in the subject line of your email to ensure receipt of your application. Email submissions are preferred.
Please be advised that the New York State Department of Financial Services does not offer sponsorship for employment visas.
Nate Keiper
Box DS-DFSP2-21083
New York State Department of Financial Services
Office of Human Resources Management
One Commerce Plaza, Suite 301
Albany, NY 12257
Email: NCE.Notifications@dfs.ny.gov
Fax: (518) 402-5071
All candidates that apply may not be scheduled for an interview.
Public Service Loan Forgiveness
Employment with New York State qualifies an individual for Public Service Loan Forgiveness (PSLF). This program forgives the remaining balance on any Direct Student Loans after you have made 120 qualifying monthly payments while working full-time for a U.S. federal, state, local, or tribal government or not-for-profit organization. To learn more about the program and whether you would qualify, please visit: https://studentaid.gov/manage-loans/forgiveness-cancellation/public-service
AMERICANS WITH DISABILITIES ACT: REASONABLE ACCOMMODATIONS
Under the Americans with Disabilities Act (ADA), the Department of Financial Services is required to provide reasonable accommodation for known physical or mental limitations of an otherwise qualified applicant with a disability if an accommodation would enable the applicant to perform the essential functions of the job. If the accommodation would constitute an undue hardship on the operations of the agency, the agency is not required to provide it.
All people with disabilities are encouraged to apply to all jobs for which they meet the minimum qualifications.