Remote Data Solution Engineer with verification

Recognized as a Milwaukee Journal Sentinel Top Workplace for 12 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We’re committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities.

Job Summary

Are you driven by the challenge of turning data into powerful insights? As a Data Solution Engineer, you’ll play a pivotal role in discovering, curating, and delivering data in ways that unlock value for our business. This position will let you leverage your technical expertise in data engineering, exploring multiple environments to locate and prepare the essential data our business partners need. You’ll work with the latest cloud technologies and integrate emerging BI and visualization tools to design impactful data solutions. We’re seeking someone with exceptional problem-solving skills and a passion for using technology to create data-driven solutions.

We’re eager to connect with talented professionals ready to contribute their skills and enthusiasm to our journey. Apply today and become part of an organization dedicated to excellence!

Responsibilities & Qualifications

Drive the creation and maintenance of high-quality business facing datasets using a variety of data sources and tools to enable the required analytical capabilities and opportunities identified through collaboration with business Data Owners, Data Stewards, Product Owners, analysts, and senior leadership.

Solves moderate data engineering problems in a variety of manners incorporating best practices and integrates data from multiple data sources or functional areas; organizes the data; validates the data; transforms the data as needed; enriches the data; publishes the datasets; and provides detailed documentation to support the use of the datasets. Escalate more complex issues to others.

Identifies opportunities, methods, and tools for productive and efficient data collection, acquisition, and analysis.

Demonstrates a strong understanding of the data and the capabilities it enables; shows intellectual curiosity; has a strong passion and commitment to supporting the analytics process and unlocking the value of data; and has a growth-oriented mindset with a strong desire to learn and stay current on best practices and emerging capabilities to analyze data.

Preferred Experience And Skills

• 5 years of data engineering experience.
• 3 years in Property & Casualty Insurance with a thorough understanding of P&C insurance data and core insurance metrics.
• Proven analytical, statistical, mathematical, and problem-solving skills.
• Advanced knowledge of SQL, Python, R, SAS and other various data engineering tools.
• Exceptional technical knowledge in various fields like software engineering and programming languages.
• Ability to manage large complex projects or processes independently.
• Excellent communication and documentation skills.
• Can work independently or as a team.
  
  

Preferred Education And Training

• Bachelor’s degree in computer science or related field, or equivalent combination of education and experience.
• Chartered Property Casualty Underwriter (CPCU-commercial) designation
  
  

EEO

West Bend provides equal employment opportunities to all associates and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, and promotion.