Senior Data Engineer

About WIN:

WIN Home Inspection is a pioneering PropTech company, established in 1993, revolutionizing the real estate sector with disruptive software platforms and products. We blend the stability and brand recognition of a long-standing company with the agility and curiosity of a startup. Our accolades include being an Entrepreneur 500, an Entrepreneur Fastest Growing company, and the recipient of the Most Innovative Home Services Company award.

Our Culture:

Our team thrives on curiosity, a spirit of tinkering, and a drive to create impact. We cultivate a high-energy, collaborative environment where empathy guides our interactions, fostering both personal and professional growth, and where achievements, big or small, are celebrated. Learn more about our company and culture at: WIN Home Inspection Culture.

The Senior Data Engineer Opportunity:

WIN is expanding its team and seeking a talented Senior Data Engineer. The ideal candidate is passionate about analyzing intricate datasets, deriving valuable insights, and providing data-driven recommendations. You will be an integral part of a multidisciplinary team transforming the real estate industry through innovative services, notably by leveraging generative AI in our upcoming products.

Key Responsibilities:

• Collaborate with cross-functional teams to define data requirements, manage data collection, and ensure the quality and integrity of data.
• Curate datasets through hands-on analysis and automated tools, including web scraping, ETL pipelines, and SQL queries.
• Conduct thorough research and analysis to identify and integrate new data sources, complementing existing ones.
• Design and maintain user-friendly BI dashboards, reports, and visualizations to effectively convey complex data and insights.
• Uncover actionable business insights by analyzing data trends, patterns, and correlations.
• Own the documentation of data processes, schemas, and datasets.
• Build solutions adhering to best practices in security, design, and data quality.

Required Qualifications:

• Bachelor's degree in Computer Science or a related technical field.
• 2-5 years of experience in data analysis (e.g., Python, SQL, Excel, Tableau, Looker, Power BI) and visualization tools.
• Experience with data querying, manipulation, and integration scripting is a plus.
• Experience with enterprise cloud computing and storage platforms (AWS, GCP, etc.).
• Ability to thrive in a dynamic environment demanding innovation and rapid execution.
• Skilled in understanding and breaking down complex problems, proposing clear and effective solutions.
• Creative and strategic thinker with an out-of-the-box approach.
• Eagerness to learn new technologies and platforms.
• Strong work ethic, high integrity, and a collaborative team-player attitude.

What We Offer:

• A highly inclusive and collaborative culture built on mutual respect.
• Focus on core values, initiative, leadership, and adaptability.
• Strong emphasis on personal and professional development.
• Flexibility to work remotely and/or hybrid indefinitely.