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FNIC Trusted insurance advisors · 18 hours ago

Sr. Data Engineer

Omaha,NE,US

Full-time

Hybrid

Senior Level

5+ years exp

FNIC Trusted insurance advisors is seeking an experienced Sr. Data Engineer to join their innovative and agile data team. The role involves designing, building, and evolving a modern data platform while collaborating closely with a Data Analyst to ensure data quality and reliability.

Auto InsuranceCommercial InsuranceConsultingProperty InsuranceRisk Management

No H1B

Responsibilities

Architect, implement, and maintain scalable data solutions using Google Cloud Platform, with BigQuery as the primary analytical data store

Design, build, and optimize data pipelines using Python, dbt, and Airflow (Cloud Composer) to support analytics, reporting, and downstream integrations

Develop and maintain robust APIs and integrations in Python, enabling seamless communication between the data platform and business applications

Collaborate closely with the Data Analyst to validate data models, transformation logic, and pipeline outputs, ensuring accuracy and business alignment

Support and contribute to PowerBI semantic models and dashboards, partnering with the Data Analyst to ensure performance, usability, and trusted metrics

Act as a full-stack data professional, contributing across data architecture, ingestion, transformation, analytics enablement, visualization support, and API development

Serve as a technical mentor to the Data Analyst, providing guidance on data modeling, SQL optimization, engineering best practices, and platform design

Participate jointly with the Data Analyst in monitoring, UAT, troubleshooting, and operational support of data pipelines and reporting solutions

Build and maintain technical documentation for data architecture, pipelines, and engineering standards; support user-facing documentation efforts as needed

Work within an agile framework alongside a dedicated Product Owner to deliver iterative, high-value data solutions

Provide proactive internal customer support and demonstrate strong customer-centric behaviors for internally developed data products and platforms

Qualification

BigQueryGoogle Cloud PlatformPythonData pipelinesPowerBIDbtAirflowSQL optimizationAgile environmentMentoringProblem-solvingCollaboration

Required

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical field (or equivalent practical experience)

5+ years of professional data engineering experience, with at least 2 years in a senior or full-stack data engineering role

Strong expertise with BigQuery / Google Cloud Platform, including data modeling and advanced SQL optimization

Proven experience building and maintaining data pipelines using Python, dbt, and Airflow (Cloud Composer)

Experience supporting analytics and reporting platforms, including PowerBI semantic models and dashboards

Familiarity with Azure DevOps or similar CI/CD and work management tooling

Demonstrated ability to mentor and collaborate closely with analytics-focused team members

Strong problem-solving skills, attention to data quality, and ownership mindset

Ability to thrive in an agile, fast-moving environment with close business and technical collaboration

Legal authorization to work in the United States without the need for employer sponsorship, now or in the future