Sr. Data Engineer
Listed on 2026-07-30
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IT/Tech
Data Engineering, Data Analyst
At Orion
180, we don’t just stand out for what we do; we shine because of how we do it. Our mission is to deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products. Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry.
O rion
180 is proud to call three vibrant cities home. Our headquarters on Florida’s stunning Space Coast in Melbourne offers an exceptional quality of life, with affordable housing, excellent transportation, and close proximity to major cities like Orlando, Tampa, and Miami. Our Irving, Texas, office places us in a dynamic center of culture, business, and entertainment, keeping us closely connected to innovation and growth.
Our Draper, Utah, location, nestled in the heart of the Salt Lake Valley, connects us to a rapidly growing tech ecosystem and provides access to the outdoor lifestyle and natural beauty the region is known for.
We are actively recruiting for a Sr. Data Engineer to join our growing team!
We believe analyticsisn'ta back-office function.
It'snot a reporting layer bolted onto the business after the real decisions get made.
It's the foundation that tells you where riskactually lives, where growth is hiding, and where you'remissing opportunitiesbefore it's too late to do anything about it.
That belief is driving real investment in our people, platforms, and in how deeply analytics is woven into the way weoperate. From underwriting to distribution to customer experience,we'rebuilding a data culture where insight drives action.
It also means evolving how we think about the role of a Data Engineer.
ABOUT THE ROLE:In this role you will be a hands-on technical leader designing, building, and optimizing the data integrations, cloud data infrastructure, and data models that power analytics and data science across the company. You will lead the development of robust data pipelines, orchestrate complex workflows using Azure native tools, and implement data governance frameworks. You will collaborate with data scientists, analysts, and business leaders to turn raw data into scalable, production-ready assets for real-time analytics engines, portfolio risk platforms, and client-facing digital products.
- Build and maintain scalable, fault-tolerant ETL/ELT pipelines using Azure Data Factory, Synapse, and Databricks to ingest diverse financial datasets.
- Create and optimize data models (dimensional, medallion/bronze-silver-gold) to support PowerBI semantic layers and downstream analytics.
- Implement automated data validation, lineage tracking, and monitoring frameworks to ensure the highest standards of data security, privacy, and regulatory compliance.
- Develop real-time data streaming and event-driven architecture using Azure Event Hubs and Azure Stream Analytics for instant fraud detection and transaction monitoring.
- Engineer and implement highly optimized Lakehouse architectures utilizing Azure Synapse Analytics and Microsoft Fabric, ensuring efficient storage and querying of multi-terabyte data layers.
- Design optimized relational, dimensional, and graph data models for diverse analytics computing and workloads.
- Manage, optimize, and tune large-scale Azure SQL Databases and Managed Instances, writing complex, highly performant stored procedures and T-SQL queries.
- Establish robust CI/CD deployment pipelines for all data assets using Azure Dev Ops, ensuring automated testing, validation, and infrastructure-as-code.
- Collaborate with data scientists to productionalize ML feature pipelines and support MLOps workflows.
- Implement strict data masking, row-level security, and data lineage workflows using Microsoft Purview to comply with financial regulations.
- Act as a technical leader, mentoring junior engineers and promoting modern Agile Data Ops engineering practices: CI/CD for data pipelines, testing, version control and code review.
Education:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field
- United States Citizen or Green Card…
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