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Insurance Data Engineer Jobs in Philadelphia, PA

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 ...

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 ...

Accord Technologies Inc.

Senior AI Engineer

Philadelphia, PA · On-site

$123K - $163K/yr

Senior AI Engineer (Insurance domain and Data Background) Philadelphia, PA (Hybrid Day 1 onsite) Position type: W2 contract Role: The Senior Data & AI Engineer owns the full technical stack ...

New

Comcast

Senior Full Stack Data Engineer

West Chester, PA · On-site +1

Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent ... Life Milestones - from adoption assistance, childcare resources, pet insurance, and more, Comcast ...

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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 Aug 7, 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.

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 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, 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 $130,895 per year, or $62.9 per hour.

Data Engineer (AWS, Azure, GCP)

CapTech Consulting

Philadelphia, PA • On-site

$115K - $138K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.
Specific responsibilities for the Data Engineer - Cloud position include:
  • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly
  • Utilizing your skills in engineering best practices to solve complex data problems
  • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.
  • Articulating architectural differences between solution methods and the advantages/disadvantages of each

Qualifications
Typical experience for successful candidates includes:
  • Experience delivering solutions on a major cloud platform
  • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture
  • Experience in the design and implementation of data architecture solutions
  • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines
  • Ability to assess and utilize traditional and modern architectural components required based on business needs.
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning.

Skills:
Successful candidates usually have demonstrable experience with technologies in some of these categories:
  • Languages: SQL, Python, Java, R, C# / C++ / C
  • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle
  • DevOps: git, docker, subversion, Kubernetes, Jenkins
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
  • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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