Orion180 Insurance Services LLC
Sr. Data Engineer
Irving, TX · Senior
Sponsorship not specifiedDetected 2 days ago
PythonSQLSnowflakeDatabricksAzureCI/CDDevOpsMachine LearningSparkData EngineeringData VisualizationMLOpsCustomer SupportTest AutomationCommunicationCollaborationProblem SolvingMentoringUnderwriting
About the role
- DataOps & Automation Establish robust CI/CD deployment pipelines for all data assets using Azure DevOps, ensuring automated testing, validation, and infrastructure-as-code.
- Act as a technical leader, mentoring junior engineers and promoting modern Agile DataOps engineering practices: CI/CD for data pipelines, testing, version control and code review.
- Big Data Compute: Proven experience processing large-scale data using Spark clusters within Azure Databricks.
Responsibilities
- 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.
- Pipeline Development 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.
- Develop real-time data streaming and event-driven architecture using Azure Event Hubs and Azure Stream Analytics for instant fraud detection and transaction monitoring.
- Design optimized relational, dimensional, and graph data models for diverse analytics computing and workloads.
- 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.
- Our mission is to deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products.
Requirements
- 6+ years of dedicated experience in data engineering, with at least 3 years focused on the Azure ecosystem within a transactional, highly regulated environment.
- Mastery of T-SQL and advanced relational database concepts, alongside strong scripting proficiency in Python (or PySpark).
- Core Languages: Mastery of T-SQL and advanced relational database concepts, alongside strong scripting proficiency in Python (or PySpark).
- While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs).
Skills
- Strong experience using Azure DevOps (Azure Pipelines, Repos) for version control and deploying data engineering workloads.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration abilities across technical and non-technical teams.
- DevOps: Strong experience using Azure DevOps (Azure Pipelines, Repos) for version control and deploying data engineering workloads.
- Skills & Attributes: Excellent analytical, problem-solving, and critical-thinking skills.
Compensation
- Competitive base pay and performance bonuses.
Benefits
- Medical, dental, vision, 401k, paid holidays, PTO and more!
- Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry.
Company info
- Join Our Team & Make an Impact!
- At Orion180, we don't just meet expectations, we exceed them.
- If you're ready to take your career to the next level and be part of a growing, forward-thinking company, apply today!
- At Orion180, we don't just stand out for what we do; we shine because of how we do it.
Equal opportunity
- Equal Opportunity Employer.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Visa & Work Authorization
- helor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field United States Citizen or Green Card holder required Experience: 6+ years of dedicated experience in data engineeri
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