Data Engineer

Portsmouth, OH - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Position Description

We are seeking a motivated Data Engineer to support the modernization of our our clients insurance agency and policy admin data platforms. This role offers the opportunity to work with cloud technologies (AWS or Azure) build scalable data pipelines and integrate key systems such as Applied Epic Ivans EzLynx AL3 data integration Guidewire and Salesforce this role you will contribute to real-time analytics predictive modeling and customer insights while collaborating with cross-functional teams to deliver high-impact data solutions

Required qualifications to be successful in this role

3-5 years of professional experience as a Data Engineer preferably in the insurance or financial services industry.

Strong domain knowledge of Personal Lines Insurance (Auto Homeowners Renters etc.) including policy lifecycle Renewal billing and underwriting.

Hands-on experience working with Applied Epic and Guidewire (Policy Center Billing Center or Claim Center).

Familiarity with Salesforce Financial Services Cloud (FSC) or core Salesforce CRM data models (nice to have but preferred).

Understanding Insurance data structures workflows and APIs specific to insurance operations and customer engagement.

Proficient in SQL and one or more programming languages like Python Scala or Java for data transformation and scripting.

Experience building ETL/ELT pipelines using tools such as dbt Talend Informatica or custom frameworks.

Working knowledge of cloud-based data platforms (e.g. AWS Glue/Redshift Azure Data Factory/Synapse GCP BigQuery).

Exposure to streaming and event-driven architecture (e.g. Kafka Kinesis Spark Streaming) is a plus.

Ability to design and implement insurance data models across policy claims customer and finance domains.

Experience with dimensional modeling normalization/denormalization and building data marts for reporting/analytics.

Knowledge of data governance best practices including data quality lineage access control and metadata management.

Familiarity with regulatory and compliance frameworks (e.g. GDPR CCPA HIPAA NAIC standards).

Experience enabling BI tools such as Power BI Tableau or Looker by delivering clean high-quality data sets.

Ability to collaborate with analytics and reporting teams to support KPIs and business insights.

Strong communication skills to collaborate with business stakeholders product owners and cross-functional IT teams.

Ability to work in agile development environments and participate in sprint planning retrospectives and stand-ups.

Position Description We are seeking a motivated Data Engineer to support the modernization of our our clients insurance agency and policy admin data platforms. This role offers the opportunity to work with cloud technologies (AWS or Azure) build scalable data pipelines and integrate key systems such...