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Insurance Data Engineer Jobs in Philadelphia, PA

Burlington

Senior Data Engineer

Edgewater Park, NJ

$80K - $105K/yr

The Senior Data Engineer is a member of the Enterprise Data and Analytics team supporting business ... insurance. Full-time associates are also eligible for paid time off, paid holidays and a 401(k) ...

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

... insurance (for individual, families, and domestic partners). Employees are eligible for our ... Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ...

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Showing results 21-40

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

Insurance Data Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do insurance data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for insurance data engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 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.

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 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.

What are popular job titles related to Insurance Data Engineer jobs in Philadelphia, PA?

For Insurance Data Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Insurance Data Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Insurance Data Engineer jobs?

Cities near Philadelphia, PA with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Senior Data Engineer

Burlington

Edgewater Park, NJ

$80K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Burlington rating

4.5

Company rating: 4.5 out of 10

Based on 947 frontline employees who took The Breakroom Quiz

20th of 21 rated department stores

Job description

Position OverviewCome join our growing team of data practitioners and be on the leading edge of Burlington's digital transformation! Burlington is seeking a self-driven and highly motivated individual to join a dynamic team with a passion for data, software, and engineering. At Burlington you will have the opportunity to work with the latest technologies in a goal-oriented environment.
The Senior Data Engineer is a member of the Enterprise Data and Analytics team supporting business areas including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics teams with insights gained from analyzing Burlington and external data. The successful candidate will have strong experience pulling data from various internal and external data sources and preparing it for advanced analytics, segmentation, and modeling. Must have strong interpersonal and relationship building skills as well as written and verbal communication skills.A Day in the Life
  • Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle it for advanced analytics activities and AI/ML and GenAI uses.
  • Guide and lead development of data pipelines to enable real-time, high volume, data consumption.
  • Leverage data engineering best practices and tools in collaboration with analytics translators, data scientists, and cloud engineers
  • Assist with researching first and third-party data sources to enable access and ensure availability of relevant data sources for those who need it
  • Provide input to cloud engineers for the design and implementation of data management and/or architecture solutions
  • Provide ongoing operational support for ETL/ELT environments including development, test, and production
  • Design, implement, and deploy data loaders to load data into the cloud data platform
  • Assist in pulling, filtering, tagging, joining, parsing, and normalizing data sets for use
  • Mentoring junior members of the team
You'll Come With

Education:

  • Bachelor's or Master's degree in Computer Science / Engineering, Informatics, or related areas.

Experience:

  • 5+ years of experience in designing and implementing large scale data loading, manipulation, processing, analysis, and exploration solutions
  • Extensive experience developing SQL based data processing
  • 5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs
  • Experience with Snowflake and Oracle Databases as well as Azure and ADLS.
  • Experience in development & provisioning RESTful APIs to enable real-time data consumption.
  • Experience with source control tools such as GitHub and related CI/CD processes.

Skills and Abilities:

  • Technical expertise with pulling and massaging data
  • Great understanding of first/third party data
  • Agile Development methodology
  • Database Normalization
  • Advanced SQL skills
  • Understanding of data management principles and processes
  • Passion for data, analytics and pushing business innovation
  • Strategic thinker who loves technology and innovation
  • Excellent communication skills
  • AI-based development for data workflows, data wrangling, and code-assist

Preferred Skills:

  • Experience with Informatica IDMC
  • Experience with GenAI and Natural Language Processing (NLP) frameworks
  • Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming)
  • Unix / Linux Experience
  • Experience with CI/CD practices
  • Previous experience with DevOps
  • Experience with Python / Java programming languages
  • Experience with one or more enterprise scheduler
  • Experience with AI-based testing, experimentation and prototyping
  • Retail or CPG experience preferred

#LI-MS1

Come join our team. You're going to like it here!

You will enjoy competitive wages, flexible hours, and an associate discount. Burlington's benefits package includes medical, dental and vision coverage including life and disability insurance. Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan.

We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity

Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location.

Compensation Range: $80,000.00 - $105,000.00

What Burlington employees say

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About Burlington

Sourced by ZipRecruiter

At Burlington, we embrace the many facets of diversity that strengthen our communities where we live and work every day. If you want to grow your retail career with a caring and inclusive organization, come join the Burlington Stores team as a Customer Service Supervisor, Selling Floor Supervisor or Receiving Team Supervisor!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Burlington, NJ, US

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