We are a Chicago-based technology startup that is leading a new way forward for prescription care. We’re rethinking the pharmaceutical supply chain, introducing AI-driven marketplaces that drive down costs, and new consumer tools that guide decisions on care. Led by a team of industry experts, we’re fixing the high costs and broken experiences that define our pharmaceutical supply chain. We believe that better pricing, more information, and smarter tools can lower costs, empower consumers and help payers take control of their pharmacy benefits. The technology we’re building is the start of a new way of working together – making better outcomes possible for all.

Waltz Health Values

Integrity: We are committed to protecting the value of clinical care across the pharmaceutical system. We are truthful and honest in our commitments with all our partners.
Inclusion: We advocate for change that benefits us all, a smarter system that works together. We embrace our differences as well as the unique perspectives our employees and partners bring with them.
Access: We are focused on breaking down barriers to bring choice back to the healthcare experience. We want to help all our partners get the right prescription care at the right cost.
Accountability: We take ownership of the quality of our work and the outcomes we deliver. Our focus is on delivering a best-in-class experience for our partners while achieving bold targets.
Progress: We believe in moving healthcare forward in everything we do. We strive for a culture that is innovating better ways to deliver pharmaceutical care.

We are on the hunt for a passionate Data Engineer to join our dynamic team. This role is perfect for those who possess an innate curiosity and a relentless drive to learn, offering a unique opportunity to contribute significantly to the healthcare sector within a vibrant startup culture.

As our Data Engineer, you will play a vital role in:

Designing and Managing Data Pipelines: Develop and maintain efficient data ingestion processes across various sources (Snowflake, PostgreSQL, Elastic Search), ensuring seamless data flow and availability.
Cross-functional Collaboration: Work closely with our technology and business teams to crystallize requirements, contributing to a continuous development roadmap.
Advanced Support: Offer L3/L4 support, addressing and resolving escalated user issues.
Data Transformation: Utilize DBT for crafting transformation logic, preparing data for consumption by business teams, front-end developers, and APIs.
Process Optimization: Elevate our organizational efficiency by automating manual operations, enhancing monitoring, and refining alerting mechanisms.

In the first 90 days, you will have:

Platform Mastery: Acquaint yourself thoroughly with the Waltz technology ecosystem.
Industry Insight: Gain deep insights into the Pharmacy industry and how Waltz's offerings stand out.
Infrastructure Excellence: Design and implement a resilient data infrastructure and reporting solutions.

You will be successful because you have these skills and traits:

Technical Proficiency:

Experience in building scalable data pipelines with Azure Data Factory, emphasizing data quality and direct usability.
Expertise in data modeling with DBT or Postgres stored procedures.
Expertise with serverless applications using Azure Functions, and coding in Python for data processing and automation.

Database Management: Competency in managing PostgreSQL and Snowflake databases, focusing on data integrity, performance, and security.
Collaborative Spirit: Ability to work closely with cross-functional teams, understanding their data needs and crafting enabling solutions.
System Optimization: Skills in monitoring, diagnosing, and enhancing data systems for better reliability and efficiency.
Effective Communication: Clarity in conveying complex technical ideas to varied organizational levels, thriving in both independent and team settings.
Adaptability: Agile in responding to the evolving needs of a growing company, with a knack for problem-solving, critical thinking, and creative innovation.

You have these qualifications:

Educational Background: A Bachelor’s or master's degree in computer science, Engineering, or a related discipline.
Experience: At least 2 years in a Data Engineering capacity, with a solid foundation in cloud-based data solutions, primarily within Azure environments.
Technical Skills: Proficiency in Azure Data Factory, Azure Functions, Python programming, DBT for data modeling, and familiarity with PostgreSQL and Snowflake databases.
Preferred Qualifications: Exposure to Microsoft Azure and experience with Elastic Search are advantageous.

Benefits for Full-Time Employees

Ground floor opportunity with one of the fastest-growing startups in health tech.
Competitive compensation, including meaningful stock options.
Flexible vacation and a work culture that allows for taking time to recharge.
Medical, dental, vision, 401K, commuter benefits, and more.

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