Assistant Data Solutions Engineer

West Bend Insurance Company • Madison, WI

5d • Hybrid

About The Position

Provides foundational support for the development and maintenance of business-facing datasets used for reporting and analytics. Works closely with and under the guidance of more experienced data engineers to learn and apply basic data engineering practices. This position offers both remote and hybrid work locations. Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule. Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events.

Requirements

• 0-2 years of data engineering experience.
• Knowledge of data concepts, data modeling, and data integration techniques.
• Exposure to SQL and experience with at least one programming or scripting language such as Python, R, or SAS.
• Familiarity with data engineering tools, platforms, or cloud-based data environments.
• Basic understanding of software engineering principles and version control practices.
• Ability to follow established standards and processes while contributing to continuous improvement.
• Analytical, problem-solving, and attention-to-detail skills.
• Effective written and verbal communication skills, with the ability to document work clearly.
• Ability to work collaboratively as part of a team with guidance from senior engineers, while independently managing assigned tasks.

Nice To Haves

• Internship or experience with Property & Casualty data is a plus.

Responsibilities

• Provides foundational support for the development and maintenance of business-facing datasets used for reporting and analytics.
• Works closely with and under the guidance of more experienced data engineers to learn and apply basic data engineering practices.
• Assists with data preparation, validation, and documentation while developing technical skills, business knowledge, and familiarity with enterprise data standards.
• Assists with the integration, development and maintenance of datasets using established tools and processes.
• Supports data integration, validation, transformation, enrichment, and publication activities under guidance.
• Performs basic data validation and engineering tasks and basic troubleshooting following defined standards and instructions.
• Collaborates with data owners, stewards, engineers, analysts, and business partners to understand data requirements and usage.
• Creates and updates documentation to support dataset clarity, accuracy, and maintainability.
• Uses SQL, Python and other data tools to support data development and analysis tasks.
• Learns and applies data engineering best practices, data governance standards, and business data concepts.
• Demonstrates initiative in building technical skills, asking questions, and incorporating feedback.

Benefits

• Medical & Prescription Insurance
• Health Savings Account
• Dental Insurance
• Vision Insurance
• Short and Long Term Disability
• Flexible Spending Accounts
• Life and Accidental Death & Disability
• Accident and Critical Illness Insurance
• Employee Assistance Program
• 401(k) Plan with Company Match
• Pet Insurance
• Paid Time Off
• Bonus eligible based on performance

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree