Sr. Data Engineer

Are you looking for

• Flexibility that fits your life including work-from-home options
• Paid time off driven by results and well-being not a fixed number of days
• A fun collaborative environment
• Support for continued learning and career growth
• A culture based on trust accountability and bringing your whole self to work

We are seeking an experienced versatile Sr. Data Engineer to join our innovative and agile data team. This role is instrumental in designing building and evolving a modern scalable data platform while working in deep daily collaboration with a complementary Data Analyst.

As a senior member of the team this position requires strong technical leadership hands-on engineering expertise and a customer-centric mindset. You will own core data architecture and engineering decisions while mentoring the Data Analyst and ensuring shared accountability for data quality reliability and delivery.

Whats the work like

You will...

• 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.

Okay so why join FNIC

While we expect a lot from our employees at FNIC we believe in giving just as much in return. Heres what you can expect when you join our team...

• Competitive Pay: We offer market-competitive compensation packages that reflect your experience expertise and the value you bring to our clients and teams.
• Benefits You Can Rely On: Health dental and vision insurance HSA with employer contributions 401(k) match employer-paid disability coverage and life insurance.
• Freestyle PTO & Work-Life Balance: Our trust-based and freestyle time-off approach removes PTO banks and offers flexible telecommuting options.
• Dress for Your Day: Whether youre client-facing or behind the scenes we encourage you to dress in a way that helps you feel comfortable and confident.
• Invested in Your Development: We support continuous learning through tuition reimbursement training opportunities and career growth paths across FNIC.
• A Workplace That Cares: Access mental health support through our EAP virtual fitness classes in-office gym access (Omaha) and a culture that prioritizes connection fun and collaboration.

What do I need to know

You have to have

• Bachelors 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.

Wed like it if you had...

• Familiarity or experience with Applied Systems Epic platform.
• Previous experience or exposure to the Insurance industry.

If youre passionate about building reliable data platforms mentoring analytical talent and owning end-to-end data solutions in a collaborative environment wed love to hear from you.