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

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 ...

Medical, Rx, Dental, Disability, Life Insurance, Flexible Spending Accounts * Retirement Savings ... Strong developer experience in all phases of an end-to-end SAP Data Migration. * Requires working ...

Data Migration Lead

Moon Township, PA ยท On-site

$94K - $129K/yr

Medical, Rx, Dental, Disability, Life Insurance, Flexible Spending Accounts * Retirement Savings ... Strong developer experience in all phases of an end-to-end SAP Data Migration. * Requires working ...

Medical, Rx, Dental, Disability, Life Insurance, Flexible Spending Accounts * Retirement Savings ... Strong developer experience in all phases of an end-to-end SAP Data Migration. * Requires working ...

Showing results 41-60

Insurance Data Engineer information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

How much do insurance data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for insurance data engineer in Pittsburgh, PA is $125,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 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 job categories do people searching Insurance Data Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Insurance Data Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Insurance Data Engineer jobs? Cities near Pittsburgh, PA with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $125,931 per year, or $60.5 per hour.

Agentic AI Engineer

System One

Pittsburgh, PA โ€ข On-site

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 29 days ago


Job description

Job Title: Agentic AI Engineer Location: Pittsburgh, PA/Dallas, TX/Cleveland, OH Type: Contract To Hire Responsibilities

  • Build AI agents capable of reasoning, planning, memory management, and autonomous task execution.
  • Implement workflow configuration in Azure Foundry/AWS Bedrock.
  • Develop prompt engineering, agent orchestration, and tool-calling mechanisms.
  • Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel.
  • Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.
  • Develop scalable backend services and APIs to support AI agent operations.
  • Monitor agent performance, reliability, and response quality.
  • Ensure responsible AI practices including security, governance, observability, and compliance.
  • Collaborate with data engineers, software developers, and business teams to deliver AI-driven automation solutions.
Requirements
  • Hands-on experience developing AI agents automation using Azure or AWS.
  • At least 2+ years in software development with Agentic AI implementation experience.
  • Strong in Azure Foundry/AWS Bedrock related agentic automation development.
  • Proficient in Python, SQL, Pandas.
  • Good exposure to agile testing processes.
  • Excellent communication skills to interact with stakeholders.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #404-IT Pittsburgh