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

Contact Government Services, LLC

Data Engineer

Albany, NY

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Contact Government Services, LLC

Data Engineer

Albany, NY

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Community Care Physicians

Sr. Data Engineer

Latham, NY · On-site

$98K - $130K/yr

Our IT department is looking for a full time Sr. Data Engineer to join their team! The hours are ... insurances, paid holidays, paid time off, retirement plan, and much more in a business casual ...

Contact Government Services, LLC

Sr. Data Engineer

Albany, NY · On-site

$113K - $136K/yr

Sr. Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

... insurance, no-cost-to-you vision insurance for you and your qualified dependents. We are also ... This role operates at the intersection of data science, data engineering, cloud analytics platforms ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

... insurance, no-cost-to-you vision insurance for you and your qualified dependents. We are also ... This role operates at the intersection of data science, data engineering, cloud analytics platforms ...

KPMG

Sr. Associate, Data Engineering & AI

Albany, NY · On-site

KPMG is currently seeking a Sr Associate, Data Engineering & AI to join our Digital Nexus ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

KPMG

Manager, Data Solution Lead

Albany, NY · On-site

Collaborate with developers, architects, analysts to develop best technical design and propose ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

ANS

Entry- Level Geotechnical Engineer

Albany, NY · On-site

$64K - $75K/yr

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 ...

ANS

Entry- Level Geotechnical Engineer

Albany, NY · On-site

$64K - $75K/yr

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 ...

ANS

Entry- Level Geotechnical Engineer

Albany, NY · On-site

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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Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Rensselaer, NY

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:
Insurance Data Engineer jobs near you
Data Engineer

Data Engineer

Contact Government Services, LLC

Albany, NY

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 hours ago

Job description

Data Engineer 
Employment Type: Full-Time, Mid-level
Department: Business Intelligence
 
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges.
 
CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.
 
Skills and attributes for success:
-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.
-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.
-Write code to ensure the performance and reliability of data extraction and processing.
-Support continuous process automation for data ingest.
-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.
-Work with program management and engineers to implement and document complex and evolving requirements.
-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists.
 
 
Qualifications:
-Must be a US Citizen.
-Must be able to obtain a Public Trust Clearance.
-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.
-Proficiency in developing ETL processes, and performing test and validation steps.
-Proficiency to manipulate data (Python, R, SQL, SAS).
-Strong knowledge of big data analysis and storage tools and technologies.
-Strong understanding of the agile principles and ability to apply them.
-Strong understanding of the CI/CD pipelines and ability to apply them.
-Experience with relational database, such as, PostgreSQL.
-Work comfortably in version control systems, such as, Git Repositories.
 
Ideally, you will also have:
-Experience creating and consuming APIs.
-Experience with DHS and knowledge of DHS standards a plus.
-Candidates will be given special consideration for extensive experience with Python.
-Ability to develop visualizations utilizing Tableau or PowerBI.
-Experience in developing Shell scripts on Linux.
-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.
-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. 
 
Our Commitment:
Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems.
 
For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.
 
Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
 
We care about our employees. Therefore, we offer a comprehensive benefits package:
-Health, Dental, and Vision
-Life Insurance
-401k
-Flexible Spending Account (Health, Dependent Care, and Commuter)
-Paid Time Off and Observance of State/Federal Holidays
 
Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
Join our team and become part of government innovation!
 
Explore additional job opportunities with CGS on our Job Board:
https://cgsfederal.com/join-our-team/
 
For more information about CGS please visit: https://www.cgsfederal.com or contact:
Email: [email protected]
 
#CJ
$112,597.33 - $152,810.66 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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