Position : Data Engineer
Salary : $100,000 - 115,000 + Bonus
Benefits : Competitive Healthcare Plans, 34 Days of PTO (Paid Time Off), Onsite Gym, Wellness Programs, 401(k) match, Life Insurance, etc.
Location : Orlando, FL (Onsite)
Job Summary :
The Data Engineer will design, build, and maintain scalable data pipelines and platforms that support enterprise reporting, analytics, and data?driven decision?making. This role works closely with IT, data, and business teams to ensure data is accurate, accessible, secure, and ready for use across the organization. Here are a few reasons to apply :
- Outstanding benefits, including an onsite gym and 34 days of PTO.
- Leadership invested heavily in both the business and its people, fueling continued growth.
- Brand new, state of the art office currently being built.
Key Responsibilities of the Data Engineer :
Support and enhance the Guidewire Enterprise Data Warehouse , ensuring reliable and accurate data flowsDesign and implement on?prem or cloud?based data platforms , integrating Guidewire and other enterprise data sourcesBuild and maintain ETL / ELT pipelines to ingest, transform, and optimize dataDevelop and maintain data models for reporting, analytics, and advanced use cases (AI / ML)Implement data governance, quality, security, and compliance best practicesEnable self?service analytics and real?time data processing using modern data technologiesCollaborate with IT, analytics, and business teams to translate data needs into technical solutionsMentor junior team members and contribute to data architecture and modernization initiativesManage work through ticketing systems and contribute to project planningSupport reporting requests and ad?hoc analysis for leadership as neededPreferred Experience of the Data Engineer :
Bachelors or Masters degree in Computer Science, Information Systems, Data Science, or related field5+ years of experience in data engineering, data architecture, or related rolesExperience with Guidewire InsuranceSuite data models (PolicyCenter, BillingCenter, ClaimCenter) preferredStrong experience with Azure?based data platforms and lakehouse architecturesProficiency in ETL / ELT tools (SSIS, Azure Data Factory) and SQL?based databasesHands?on experience with big data and streaming technologies (Databricks, Spark, Kafka, etc.)Familiarity with BI tools such as Power BI, Tableau, or LookerWorking knowledge of data governance, security, and compliance frameworksExperience using Jira or similar ticketing systemsBonus Experience of the Data Engineer :
Experience with Data Mesh architecturesExposure to machine learning / MLOpsAzure Data Engineer certification#LI-NB1 #INJAN2026