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

Data Engineer

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Data Engineering Manager Purpose The Data Engineer creates, operates, and extends data pipelines ... life insurance and short/long term disability coverage, and an Employee Assistance Program!

Data Architect

Pittsburgh, PA ยท 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 ...

Data Architect

Pittsburgh, PA ยท 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 ...

Engineer

Pittsburgh, PA ยท On-site

$100K - $120K/yr

Skill: Senior Feature Engineer Must Have Technical/Functional Skills: * 10+ years in Data ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional ...

Engineer

Pittsburgh, PA ยท On-site

$90K - $110K/yr

Proven experience designing production-grade data/feature pipelines. * Strong track record in ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional ...

Engineer

Pittsburgh, PA ยท On-site

$100K - $120K/yr

Proven experience designing production-grade data/feature pipelines. * Strong track record in ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional ...

Engineer

Pittsburgh, PA ยท On-site

$120K - $140K/yr

Skill: Senior Feature Engineer Must Have Technical/Functional Skills: * 10+ years in Data ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional ...

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Showing results 1-20

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 Jul 16, 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.

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 Carnegie, PA? For Insurance Data Engineer jobs in Carnegie, PA, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution, with an average salary of $124,382 per year, or $59.8 per hour.
Data Engineer

Data Engineer

Pantherx Specialty LLC

Pittsburgh, PA โ€ข On-site

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

7,000 Diseases - 500 Treatments - 1 Rare Pharmacy

PANTHERx is the nationโ€™s largest rare disease pharmacy, and we put the patient experience at the top of everything that we do.

If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you donโ€™t need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients.

We are seeking team members who:

Are inspired and compassionate problem solvers;

Produce high quality work;

Thrive in the excitement of the ever-challenging environment of modern medicine; and

Are committed to achieving superior health outcomes for people living with rare and devastating diseases.

At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases.

Join the PANTHERx team, and define your own RxARE future in healthcare!


Location: Pittsburgh, PA (Hybrid)

Classification: Exempt

Status: Full-Time

Reports to: Data Engineering Manager


Purpose

The Data Engineer creates, operates, and extends data pipelines and/or orchestration solutions built in SQL Server or Azure Databricks environments. This role develops solutions to support the business and operational needs of internal and external partners, commonly applying SQL and ETL tools to optimize outcomes.

Responsibilities

  • Design and Develop Data Pipelines: Creates and maintains robust data pipelines using Databricks, Spark, SQL, or SSIS.
  • ETL/ELT Processes: Develops and manages efficient ETL/ELT processes for data extraction, transformation, and loading.
  • Data Integration: Integrates data from various sources, ensuring data quality and consistency.
  • Query Writing and Optimization: Writes, optimizes, and maintains complex SQL queries to enhance performance.
  • Collaborate with Stakeholders: Works closely with analysts and stakeholders to understand data requirements and deliver solutions.
  • Performance Tuning: Optimizes data pipelines, SQL queries, and Delta Tables to ensure high performance and scalability.
  • Data Quality Assurance: Ensures the accuracy and reliability of data through rigorous testing and validation.
  • Documentation: Maintains comprehensive documentation of data pipelines, processes, and query optimizations.
  • Continuous Improvement: Identifies and implements opportunities for process improvements and automation.

Required Qualifications

  • Bachelorโ€™s degree in computer science, Mathematics, Statistics, or a related field.
  • Minimum 4 years of experience in data engineering, including:
    • Advanced SQL
    • Azure Data Factory or other ETL tools
    • Python or other programming languages
    • Azure Databricks or Spark
    • Azure DevOps or other CI/CD tools
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Strong attention to detail and ability to maintain data accuracy and integrity.

Preferred Qualifications

  • Experience in healthcare, particularly specialty pharmacy.
  • Familiarity with healthcare data standards such as HIPAA and HITECH.
  • Proficiency working with Azure Log Analytics.
  • Knowledge of dimensional data modeling.
  • Data Warehousing Experience

Work Environment

PANTHERx Rare Pharmacy offers flexibility only to eligible employees to work hybrid or remotely without compromising work performance, productivity, or team collaboration. This role routinely uses standard office equipment such as computers and phones.

Physical Demands

While performing the duties of this job, the employee is regularly required to talk, hear, and see. The employee frequently is required to sit, stand, and walk; use hands and fingers, handle or feel; reach with hands and arms and view a computer screen for extended periods of time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential function of the job.

Benefits

Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too!

Equal Opportunity

PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.