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

Sidram Technologies

AWS Data Lead

Erie, PA · On-site

Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex ... Insurance). Lead modern data solution conversations as technology expert to help customer see ...

Erie Insurance

IT Senior Solutions Architect (Data)

Erie, PA · On-site +1

$109K - $174K/yr

At Erie Insurance, you're not just part of a Fortune 500 company; you're also a valued member of a ... You'll collaborate closely with data engineering, analytics, and business partners to align data ...

Erie Insurance

Data & Analytics Specialist II

Erie, PA · On-site +1

$70K - $112K/yr

At Erie Insurance, you're not just part of a Fortune 500 company; you're also a valued member of a ... Applies knowledge of programming languages and software tools to prepare ad hoc and re-occurring ...

Erie Insurance

Data & Analytics Specialist II

Erie, PA · On-site

$70K - $112K/yr

At Erie Insurance, you're not just part of a Fortune 500 company; you're also a valued member of a ... Applies knowledge of programming languages and software tools to prepare ad hoc and re-occurring ...

Associatedbank

Knowledge Engineer

North East, PA · On-site

Partner with data architecture, engineering, governance, AI, and business teams to translate ... Personal banking, loan, investmentand insurance benefits. Associated Bank serves more than 120 ...

Enjet Aero, LLC

Quality Engineer

Erie, PA · On-site

$69K - $90K/yr

Participates in Process Control including SPC implementation, training, and data analysis * Work ... health insurance, dental insurance, vision insurance, paid holidays, a 401K retirement plan ...

Enjet Aero, LLC

Quality Engineer

Erie, PA · On-site

$69K - $90K/yr

Participates in Process Control including SPC implementation, training, and data analysis * Work ... health insurance, dental insurance, vision insurance, paid holidays, a 401K retirement plan ...

Enjet Aero, LLC

Quality Engineer

Erie, PA

$69K - $90K/yr

Participates in Process Control including SPC implementation, training, and data analysis * Work ... health insurance, dental insurance, vision insurance, paid holidays, a 401K retirement plan ...

Stellantis

Resident Engineer

Erie, PA

$96K - $122K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Stellantis

Resident Engineer

Erie, PA · On-site

$96K - $122K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Shrinerschildrens

Motion Analysis Center Engineer

Erie, PA · On-site

$28.94 - $43.41/hr

... pay or insurance status. Please click here to learn more about our locations. Job Summary The Motion Analysis Center Engineer is responsible for the operation, maintenance, and data acquisition ...

Sedgwick

Senior Engineer - LLMOps & MLOps

North East, PA · On-site +1

$96K - $132K/yr

... Services & Insurance Senior Engineer - LLMOps & MLOps Role Overview This is a high-stakes ... Legacy Data Connectivity: Build the engineering "pipes" to securely ingest and move data from ...

Quest Global

Electrical Engineer

Erie, PA

$60K - $70K/yr

... PowerBI, dispatcher data ingestion, for digital thread activities in Teamcenter, NX, Siemens ... Benefits Full-time (Regular) 401(k) 401(k) matching Dental insurance Health insurance Life ...

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Showing results 1-20

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

Insurance Data Engineer information

See Erie, PA salary details

$43.1K

$125.7K

$172K

How much do insurance data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for insurance data engineer in Erie, PA is $125,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $133,200.00 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 Erie, PA? For Insurance Data Engineer jobs in Erie, PA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Erie, PA look for? The top searched job categories for Insurance Data Engineer jobs in Erie, PA are:
What cities near Erie, PA are hiring for Insurance Data Engineer jobs? Cities near Erie, PA with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you

AWS Data Lead

Sidram Technologies

Erie, PA • On-site

Contractor

Re-posted 3 days ago

Job description

AWS Data Lead

Erie, PA (Day 1 Complete Onsite)

Long Term

Skills:

Should have 12+ years of experience with last 4 years in implementing Cloud native Data Solutions for variety of data consumption needs such as Modern Data warehouse, BI, Insights & Analytics.

Should have experience in architecture and implementing End to End Modern Data Solutions using AWS and advance data processing frameworks like Databricks etc.

Strong knowledge of cloud native data platform architectures, data engineering and data management.

Good knowledge of popular database and data warehouse technologies from Snowflake and AWS.

Demonstrated knowledge of data warehouse concepts. Strong understanding of Cloud native databases, columnar database architectures.

Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.

Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Confluent Kafka, ELT techniques

Exposure to varying databases – NoSQL (at very minimum Key value stores and/or Document stores), Appliances. Be able to cite implementation experiences constraints and performance challenges in practice.

Preferable (Nice to have): Implementing analytic models using AWS SageMaker for production workloads.

Data Mesh and Data Products designing, and implementation knowledge will be an added advantage.

Key Responsibilities:

Our customers are looking for differentiating their businesses by leveraging Data as a strategic asset. You goal would be to engage customers in envisioning and building creative modern data solution such as cloud native Data platform implementation, BI and Analytics solutions.

Collaborating with customer stakeholders, IT leadership, Architecture leadership to develop modern data solution and architecture, especially for cloud native Data platforms solution architecture using AWS cloud platform.

Developing technology roadmaps and best practice with precise steps of how to get there including architecture design, data modelling, and implementation of Modern Data platform and analytics use cases across the analytics maturity.

Lead strategy session for Data & Analytics maturity with a focus of fulfilling business requirements around performance, scalability, flexibility, and cost.

Provide insights into modern Data & Analytic technologies and new use cases business intelligence and predictive analytics.

Lead design, prototyping and delivery of software solutions within the cloud data eco-system to help develop new capabilities for customer business (P&C Insurance).

Lead modern data solution conversations as technology expert to help customer see modern data solutions as enable for organization to be data driven.

Assess the Customers' knowledge of AWS platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery.

Rachael

IT Services | Development | Staffing

URL: http:/www.sidramtech.com |

Email: rachael@sidramtech.com

Direct: 4705239688

Led by 25+ Years of Industry Experience