Data Engineer

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 FSC. In 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.