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

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Category: Analytics and Emerging Digital Technologies Main location: United States ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

New

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

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

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 ...

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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Showing results 1-20

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 29, 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:
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.

Data Engineer

CGI Inc.

Pittsburgh, PA • On-site

$111K - $133K/yr

Full-time

Retirement, PTO

Posted 2 days ago

New


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

151st of 230 rated it services


Job description

Data Engineer
Category: Analytics and Emerging Digital Technologies
Main location: United States, Pennsylvania, Pittsburgh
Position ID:J0726-2185
Employment Type: Full Time
Position Description:
We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards.
This role will require someone at our client site 5 days a week in Pittsburgh, PA,
For this role on this particular client engagement, employer sponsorship of immigration related visa and/or green card status as part of the PERM process will not be available.
Duties and Responsibilities:
. Design and build scalable data pipelines aligned with business needs
. Process large dataset (batch + sometimes near Realtime)
. Ensure data quality, consistency, and governance standards across systems
. Support data integration and transformation efforts for analytics and reporting platforms
. Maintain data dictionaries, metadata, and documentation
. Participate in data architecture reviews and model validation processes
. Support analytics reporting and risk platforms
Requirements:
. 6+ years of experience in data engineering and big data processing
. Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing
. Experience working with structured and semi structured data, including complex transformations and performance tuning
. Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into 'curated data models'
. Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
. Strong knowledge of SQL and data modeling concepts
. Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
. Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
. Strong understanding of batch processing and batch job scheduling frameworks
. Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines
. Experience ensuring data quality, reliability, and compliance in regulated environments
. Good communication and documentation 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.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
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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