Senior Data Engineer

Trisura; Oklahoma City (OK); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Employee Stock Purchase Plan

Job summary

Trisura Guarantee Insurance Company in Oklahoma City is seeking a Senior Data Engineer to lead design, build, and maintenance of scalable data pipelines and data platforms. You will mentor engineers, drive best practices in data engineering, and partner with analysts and stakeholders to deliver trusted data solutions.

The role emphasizes modern data architecture, cloud services, security, and CI/CD, with on-site requirements in Oklahoma City and a comprehensive benefits package.

Qualifications

• Bachelor-level degree required or equivalent practical experience.
• Min 5 years in data engineering, data warehousing, or analytics engineering.
• Experience delivering end-to-end data solutions in production.
• Strong leadership and mentoring capabilities.
• Familiarity with insurance or regulated financial services is a plus.

Responsibilities

• Design, build, test, deploy, and support scalable data pipelines (batch and near real-time).
• Develop modern data solutions using Fabric capabilities and Lakehouse patterns.
• Implement ETL/ELT transformations with SQL, Python, PySpark.
• Model dimensional and Lakehouse data structures for analytics and reporting.
• Ensure production reliability with monitoring, data quality, and governance.

Skills

Ownership

Technical design leadership

Communication

Fast-paced adaptability

Collaboration

Analytical troubleshooting

Education

Bachelor's degree in CS/IS/related

Tools

Microsoft Fabric

Azure Data Factory

SSIS

SQL Server

Azure SQL

Azure Data Lake Storage

Git / Azure DevOps

Pipelines / CI/CD

Key Vault

Job description

Trisura Guarantee Insurance Company At

Trisura Guarantee Insurance Company At Trisura, we expect more because we believe it can be done better. We are a young, growth-oriented team with a commitment to exceptional talent and have been one of the fastest-growing North American specialty insurance firms since 2006. Our growth and our entrepreneurial style, niche market position and development opportunities ensure that our people see the results of their commitment reflected in the company’s success. We are currently seeking a driven and collaborative Senior Data Engineer to join our forward-thinking Data and Analytics team.

SENIOR DATA ENGINEER

Position is onsite in Oklahoma City – Remote is not available

Position Overview

As a Senior Data Engineer on our Data & Analytics Team, you will be a hands-on technical leader responsible for designing, building, operating, and continuously improving scalable, secure, and reliable data solutions. The role will help modernize Trisura’ s data platform, enable trusted analytics and reporting, and establish engineering standards across ingestion, transformation, orchestration, deployment, monitoring, data quality, and documentation.

What You Will Do

• Design, build, test, deploy, and support scalable batch and near-real-time data pipelines for structured, semi-structured, and unstructured data using Microsoft Fabric, Azure Data Factory, SSIS, SQL Server, Azure SQL, cloud storage, and other enterprise data sources.
• Develop modern data engineering solutions using Microsoft Fabric capabilities such as Lakehouse, Warehouse, OneLake, Copy Jobs, Notebooks, Dataflow Gen2, and related services, applying layered bronze/silver/gold architecture patterns where appropriate.
• Develop robust, reusable ETL/ELT and data transformation solutions using T-SQL, Python, PySpark, and Spark SQL, including incremental loading, Change Data Capture (CDC), schema evolution, reconciliation, restart/recovery, idempotency, and error-handling patterns.
• Design dimensional, relational, and Lakehouse data models that support analytics, operational and regulatory reporting, self-service analytics, and downstream system integrations.
• Ensure production reliability by implementing monitoring, alerting, logging, data quality controls, reconciliation, metadata, lineage, auditability, and operational support procedures.
• Optimize SQL, Spark, pipeline, and storage workloads for performance, scalability, reliability, and cost efficiency while applying security and privacy best practices, including least-privilege access, managed identities, service principals, secrets management, secure connectivity, and environment separation.
• Implement source control, automated deployment, and CI/CD practices using Git, Azure DevOps, and Microsoft Fabric deployment capabilities, and participate in code reviews, testing, release planning, incident resolution, root-cause analysis, and post-implementation reviews.
• Develop reusable engineering standards, frameworks, templates, patterns, and technical documentation to improve consistency, maintainability, and operational support across the data platform.
• Partner with Power BI developers, analysts, business stakeholders, Data Governance, and other technology teams to translate business requirements into trusted, well-structured data solutions and clearly communicate dependencies, risks, and technical trade-offs.
• Support the modernization and migration of legacy SSIS, SSRS, Azure Data Factory, SQL-based, and other data integration workloads to strategic cloud and Microsoft Fabric platforms.

What You Bring

Core Skills

• Strong ownership, accountability, and a focus on delivering reliable, maintainable data solutions.
• Ability to lead technical design discussions, mentor other engineers, and promote engineering best practices.
• Excellent written and verbal communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
• Ability to thrive in a fast-paced environment, manage competing priorities, and independently drive work from requirements through production support.
• A collaborative and customer-focused mindset when working with business stakeholders, analysts, developers, architects, vendors, and operational teams.
• Strong analytical and troubleshooting skills with a focus on root-cause analysis, automation, and continuous improvement.

Technical Expertise

• Advanced SQL and T-SQL skills, including complex querying, stored procedures, views, indexing, execution-plan analysis, performance tuning, and query optimization.
• Strong Python skills for data engineering, automation, testing, API integration, and file processing, with hands-on experience in PySpark and Spark SQL preferred.
• Hands-on experience with Microsoft Fabric and Azure data services, including Lakehouse, Warehouse, OneLake, Delta tables, pipelines, notebooks, Azure Data Factory, Azure SQL Database/Managed Instance, Azure Data Lake Storage, and Key Vault.
• Strong understanding of modern data architecture and engineering patterns, including data warehousing, Lakehouse architecture, dimensional modeling, medallion architecture, ETL/ELT, incremental processing, and enterprise data integration.
• Experience with Git-based source control, branching and pull-request practices, automated testing, CI/CD, and environment-specific configuration and deployment.
• Experience designing secure data solutions using Microsoft Entra ID, managed identities, service principals, role-based access control, secrets management, and least-privilege principles.
• Knowledge of data observability and governance practices, including logging, monitoring, alerting, pipeline metrics, reconciliation, metadata, lineage, data quality, retention, reference/master data, and audit requirements.
• Working knowledge of Power BI and semantic model consumption patterns; experience with DAX is considered an asset.
• Experience integrating enterprise databases, REST APIs, JSON, CSV, Parquet, Delta, SFTP, and other file-based or application data sources.
• Experience with PostgreSQL and legacy Microsoft technologies such as SSIS and SSRS is an asset, particularly in modernization and migration initiatives.
• Ability to develop clean, modular, testable, maintainable, and well-documented production-quality code.

Qualifications

• Bachelor's degree, college diploma, or equivalent practical experience in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field.
• Minimum 5 years of progressive experience in data engineering, data integration, data warehousing, analytics engineering, or related roles, including ownership of production data solutions.
• Demonstrated experience designing and delivering end-to-end data solutions rather than only developing individual ETL components or reports.
• Demonstrated experience troubleshooting complex production data issues and improving platform reliability, performance, and maintainability.
• Experience providing technical leadership, mentoring, code review, solution design, or engineering standards is strongly preferred.
• Experience in Insurance or another regulated financial-services environment is strongly preferred.
• Microsoft Fabric, Azure Data Engineer, Azure, Power BI, or related Microsoft certifications are considered an asset.

If you are looking for a career in an exciting and rewarding company, are driven to excel, thrive in a team environment and want to contribute to the success of an organization that values your contribution, we would like to hear from you! We thank all candidates for their interest however only those selected for an interview will be contacted. We are committed to an inclusive and barrier-free workplace that reflects the diversity in each of our offices across America. Accommodation will be provided on request for candidates taking part in all aspects of our recruitment and selection process. Trisura offers a comprehensive benefit package that includes medical, dental, and vision insurance, as well as 401(k) with company match and Employee Stock Purchase Plan.