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

Kforce Technology Staffing

Senior Data Engineer

Pittsburgh, PA · On-site

$99K - $134K/yr

The Senior Data Engineer will need to have strong hands-on experience in Azure Databricks, data ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Lab37

Cloud Platform - Data Engineer

Warrendale, PA · On-site

$130K - $164K/yr

... data scientists training models, to kitchen operations teams viewing dashboards, to engineers ... Pet insurance discount. * 401(k). * Health Savings Account (HSA) * Flexible Spending Accounts ...

Lab37

Cloud Platform - Data Engineer

Warrendale, PA

$130K - $164K/yr

... data scientists training models, to kitchen operations teams viewing dashboards, to engineers ... Pet insurance discount. * 401(k). * Health Savings Account (HSA) * Flexible Spending Accounts ...

American Eagle Outfitters

Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

Director - Data Engineering Location: Pittsburgh, PA or New York, NY American Eagle is a youth ... insurance; employee stock purchase program; paid time off; paid sick leave; and parental leave and ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Pittsburgh, PA

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 Jul 27, 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.

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 are popular job titles related to Insurance Data Engineer jobs in Pittsburgh, PA? For Insurance Data Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
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:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 81% In-person, and 19% Hybrid job distribution, with an average salary of $125,931 per year, or $60.5 per hour.
Senior Data Engineer

Senior Data Engineer

Kforce Technology Staffing

Pittsburgh, PA • On-site

$99K - $134K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Engineer on a contract to hire basis in Pittsburgh, PA.
Summary:
The Senior Data Engineer will need to have strong hands-on experience in Azure Databricks, data pipeline development, and modern cloud-based data architecture. This individual will be responsible for developing and supporting scalable data solutions while partnering closely with senior stakeholders and technical teams to understand business needs and translate them into effective data designs.
REQUIREMENTS:
* 3-5+ years of hands-on experience working with Databricks experience is required
* Strong experience building and maintaining complex data pipelines
* Experience in integrating cloud data platforms with APIs and relational data sources
* Experience with CI/CD, DevOps practices, and release automation
* Advanced knowledge of Azure Databricks, including performance tuning and troubleshooting
* Understanding of modern data architecture concepts, including medallion architecture and dimensional modeling
* Familiarity with Databricks tools such as Unity Catalog, Delta Live Tables, and Delta Sharing
* Proficiency with SQL, Python, and PySpark
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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