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Nautilus Insurance Company

Senior Data Engineer

Company : Nautilus Insurance Company

Location : Overland Park, KS, 66211

Job Type : Full Time / Part Time

Date Posted : 28 December 2025

Company Details

Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty insurance company. A member of the W. R. Berkley Corporation, a fortune 500 company, rated A+ (Superior) by A.M. Best, Intrepid Direct’s vision is to make life better for business. The insurance industry has not evolved with innovation like other major industries. We’re here to change that. We are making life better for our customers, shareholders, and our team members by leveraging data and technology as insurance experts for our targeted customers. You will be part of a highly collaborative team of talented and focused professionals. Join a group that enjoys working together, trusts each other, and takes pride in our hard-earned success.

https://intrepiddirect.com/

The Company is an equal employment opportunity employer.

Responsibilities

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity will have a direct influence on how data is made available to our business units, as well as our customers. You’ll primarily be working with our operations and engineering teams to create and enhance data pipelines, conform and enrich data, and deliver information to business users. Learn the ins and outs of what we do so that you can focus on improving availability and quality of the data we use to service our customers.

Key functions include but are not limited to:

  • Assist with long-term strategic planning for modern data warehousing needs.
  • Contribute to data modeling exercises and the buildout of our data warehouse.
  • Monitor, support, and analyze existing pipelines and recommend performance and process improvements to address gaps in existing process.
  • Automate manual processes owned by data team.
  • Troubleshoot and remediate ingestion and reporting related issues.
  • Design and build new pipelines to ingest data from additional disparate sources.
  • Responsible for the accuracy and availability of data in our data warehouse.
  • Collaborate with a multi-disciplinary team to develop data-driven solutions that align with our business and technical needs.
  • Create and deploy reports as needed.
  • Assist with cataloging and classifying existing data sets.
  • Participate in peer reviews with emphasis on continuous improvement.
  • Respond to regulatory requests for information.
  • Assumes other tasks and duties as assigned by management.
  • Mentor team members and advise on best practices.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or equivalent experience.
  • 6+ years of relevant data engineering experience.
  • Analytical thinker with experience working in a fast-paced, startup environment.
  • Technical expertise with Microsoft SQL Server.
  • Familiarity with ETL tools and concepts.
  • Hands-on experience with database design and data modeling, preferable experience with Data Vault methodology.
  • Experience supporting and troubleshooting SSIS packages.
  • Experience consuming event-based data through APIs or queues.
  • Experience in Agile software development.
  • Experience with insurance data highly desired.
  • Detail oriented, solid organizational, and problem-solving.
  • Strong written, visual, and verbal communication skills.
  • Team oriented with a strong willingness to serve others in an agile startup environment.
  • Flexible in assuming new responsibilities as they arise.
  • Experience with Power Bi desired.

Additional Company Details

We do not accept unsolicited resumes from third party recruiting agencies or firms. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Sponsorship Details

Sponsorship not Offered for this Role

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Frequently asked questions

In Overland Park, the Senior Data Engineer position often emphasizes cross-functional collaboration within insurance, blending traditional data engineering with business insights. Unlike tech hubs, there’s a stronger focus on domain expertise in insurance data and optimizing pipelines for regulatory compliance, reflecting regional industry demands.

Certifications in Microsoft SQL Server, data modeling, and ETL tools gain preference locally due to the dominance of insurance firms like Nautilus. Skills in data vault methodology and Power BI are also sought after to support analytics-driven decision-making prevalent in this region’s evolving tech landscape.

Mastering advanced SQL, data warehousing strategies, and ETL automation stands out for career growth. Additionally, hands-on experience with API data ingestion, event-driven architectures, and mentoring junior engineers are crucial to transition into senior responsibilities and leadership.

Daily hurdles include troubleshooting complex data pipelines, ensuring data accuracy under dynamic conditions, and rapidly adapting to new data sources. Balancing innovation with compliance, while mentoring team members in a fast-paced setting, also shapes the role’s demanding yet rewarding nature.

Nautilus attracts data engineers through its blend of startup agility and Fortune 500 backing, making competition moderately high. Candidates with insurance data experience and agile development skills tend to stand out, given the company’s focus on innovation in a traditionally conservative industry.

At Nautilus, senior engineers influence strategic data architecture decisions directly, engage in cross-disciplinary projects, and enjoy mentorship roles that foster professional growth. The company’s commitment to technological innovation in insurance offers exposure to cutting-edge data solutions uncommon in larger, more rigid organizations.

Senior Data Engineers in Overland Park typically earn between $110,000 and $140,000 annually, slightly below coastal tech hubs but competitive within the Midwest insurance sector. Cost of living advantages in Kansas enhance overall compensation value, making it an attractive option for experienced professionals.

Mentorship of junior engineers and collaboration across departments are key. The role involves guiding best practices in data pipeline development, contributing to peer code reviews, and helping shape the team’s data strategy, reflecting Nautilus’s culture of shared ownership and continuous improvement.

Microsoft SQL Server and SSIS are foundational for managing the company’s data warehouses and automating ETL processes. Proficiency here ensures efficient data ingestion, transformation, and troubleshooting, which are critical for maintaining high-quality, accessible data supporting business and regulatory needs.

A common misunderstanding is that the role is purely technical; however, it blends deep technical skills with strategic business insight, especially in insurance. Candidates should expect to engage with regulatory requirements, data governance, and cross-team communication, beyond just building pipelines.

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