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Insurance Data Engineer Jobs in Carnegie, PA (NOW HIRING)

Sr. GenAI Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Develop robust and scalable pipelines for data preprocessing, model training, and deployment ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

Sr. GenAI Engineer

Pittsburgh, PA · On-site

$97K - $134K/yr

Develop robust and scalable pipelines for data preprocessing, model training, and deployment ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

Design, build, and optimize batch and real-time data pipelines for ingesting, processing ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

Design, build, and optimize batch and real-time data pipelines for ingesting, processing ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

Engineer

Pittsburgh, PA · On-site

$100K - $110K/yr

SQL: Experience with No SQL database for data validation and debugging. Experience with Mongo DB ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional ...

Collaborate with data engineers, software developers, and business teams to deliver AI-driven ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Collaborate with data engineers, software developers, and business teams to deliver AI-driven ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Collaborate with data engineers, software developers, and business teams to deliver AI-driven ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Collaborate with data engineers, software developers, and business teams to deliver AI-driven ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Collaborate with data engineers, software developers, and business teams to deliver AI-driven ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Collaborate with data engineers, software developers, and business teams to deliver AI-driven ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Collaborate with data engineers, software developers, and business teams to deliver AI-driven ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Collaborate with data engineers, software developers, and business teams to deliver AI-driven ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Collaborate with data engineers, software developers, and business teams to deliver AI-driven ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Showing results 21-40

Insurance Data Engineer information

See Carnegie, PA salary details

$42.7K

$124.4K

$170.2K

How much do insurance data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for insurance data engineer in Carnegie, PA is $124,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $131,800.00 per year, depending on experience, location, and employer.

What is an insurance data engineer?

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.
What cities near Carnegie, PA are hiring for Insurance Data Engineer jobs? Cities near Carnegie, PA with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Carnegie, PA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $124,382 per year, or $59.8 per hour.

Sr. GenAI Engineer

CGI Inc.

Pittsburgh, PA • On-site

$101K - $139K/yr

Full-time

Retirement, PTO

Posted 12 days ago


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

147th of 223 rated it services


Job description

Sr. GenAI Engineer
Category: Analytics and Emerging Digital Technologies
Main location: United States, Pennsylvania, Pittsburgh
Position ID:J0726-1865
Employment Type: Full Time
Position Description:
CGI is looking to hire a highly skilled Gen AI Engineer with deep traditional AI/ML expertise, including model development, data science, MLOps, and model validation, along with exposure to GenAI and agentic AI patterns such as RAG, orchestration, tool integration, and governed workflow automation.
This role will require someone at our client site 5 days a week in Pittsburgh, PA, Cleveland, OH, or Dallas, TX.
For this role on this particular client engagement, employer sponsorship of immigration is not available.
Duties and Responsibilities:
. Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI.
. Strong experience in building and deploying predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale
. Develop robust and scalable pipelines for data preprocessing, model training, and deployment.
. Strong programming skills in Python and in similar languages.
. Familiarity with machine learning frameworks like PyTorch.
. Hands on experience with generative AI models such as GPT.
. Understanding of MLOps practices for building scalable AI pipelines.
. Solid understanding of natural language processing (NLP) and AI ethics.
. Translate complex requirements into scalable and efficient architecture
. Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments
. Excellent Communication and Leadership qualities to work independently with minimal supervision.
Requirements:
Bachelor's degree in computer science, computer engineering, or relevant field.
. A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects
. Strong knowledge data architecture in banking domain.
. 4+ Years Work Experience in Python, Mongo
. Strong hands on experience with Microsoft Azure
. Integrate LLMs with enterprise datasets using Azure Open AI.
. Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP)
. ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment
. GenAI: Knowledge in LLM Models, Langchain , Hugingface
. Excellent organizational and analytical abilities.
. Outstanding problem solver.
. Good written and verbal communication skills
#LI-SG2
#DICE
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $70,800.00 $156,700.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well being programs
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 $176,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well being programs
Skills:
  • AutoGen
  • Azure
  • Communication
  • Generative AI
  • GraphQL
  • Jenkins
  • LangGraph
  • Large Language Model (LLM)
  • Machine Learning
  • Model Context Protocol Client
  • Model Context Protocol Servers
  • Model Prototyping
  • Python
  • MongoDB

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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