Data Engineer Seattle, Washington

At Pitch Book, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done, Pitch Book is the place for you.

As a member of the Product and Engineering team at Pitch Book, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve.

Join our team and grow with us!

As a Data Engineer on the Enterprise Data Platform team, you will be responsible for building data pipelines to ingest various source data from enterprise technologies and Pitch Book Platform data, manipulating (cleanse, dedupe, normalize) data into well‑constructed data models for data analysis, implementing business logic and standard calculations, governing (supporting, observing, documenting) the data, and making the data available to end consumers in the form of Pitch Book data products built on top of our data warehouse / data lake (e.g. Snowflake).

You’ll work with a range of data and reporting technologies (e.g. Python, Docker, Tableau, Power BI) to build upon a strong foundation of rigor, quantitative techniques, and efficient processing. You’ll join other Engineers and Analytics professionals as part of the team that develops data pipelines and insights for our internal stakeholders across Sales, Customer Success, Marketing, Research, Data Operations, Product, Finance, and Administration.

Your team will rely on you to build your skills in data techniques and analytics to deliver accurate, timely, accessible, and secure data & insights to users. You’ll collaborate closely and effectively with internal and external stakeholders of different roles and technical backgrounds, who have varying understanding of data engineering. You’ll have the opportunity and ability to impact many different areas of analytics and operational thinking across enterprise technology and product engineering.

You will exhibit a growth mindset, be willing to solicit feedback, engage others with empathy, and help create a culture of belonging, teamwork, and purpose. If you love building data‑centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us!

• Apply unified data technologies to support advanced and automated business analytics
• Design, develop, document, and maintain database and reporting structures used to compile insights
• Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions
• Consistently evolve data processes and techniques following industry best practices
• Build data models to be used for reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs
• Contribute to the ongoing improvement…