Sr. Data Engineer

At PitchBook, 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, PitchBook is the place for you. 

About the Role:

As a member of the Product and Engineering team at PitchBook, 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! 

The Senior Data Engineer plays a critical role in shaping and enhancing our internal data infrastructure and analytics capabilities with a focus on data warehousing and data modeling. This position propels the value of data through engineering, governance, quality assurance, stakeholder engagement, and advanced problem-solving to enable data-driven decision making within the organization. This is an exciting opportunity for growth-minded candidates to further their product knowledge and experience in a fast-growing company with unique challenges. This role has excellent potential for career growth further in software development and other engineering paths. This role requires a growth mindset, willingness to solicit feedback, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

Primary Job Responsibilities:

• Leverage your extensive technical knowledge and hands-on experience in data engineering to design, build, and maintain robust data pipelines, extract, transform, and load processes, and data storage solutions, with a strong emphasis on data warehousing. Implement best practices for data engineering, optimizing performance and scalability 
• Lead the development of our data warehousing strategy, including data modeling and architecture. Design and maintain data models that facilitate data analytics, reporting, and machine learning. Ensure the data infrastructure meets the evolving needs of the organization, with an emphasis on data warehousing solutions 
• Take the lead in ensuring data governance and quality standards are maintained throughout the data lifecycle. Implement processes to secure data integrity, data privacy, and regulatory compliance while providing data access controls and auditing 
• Collaborate with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand data requirements and deliver actionable insights. Effectively communicate data strategies, project updates, and data-related recommendations to non-technical stakeholders 
• Tackle complex data engineering challenges with innovative and creative solutions. Diagnose and troubleshoot issues, identify bottlenecks, and develop strategies to optimize data processing speed and pipeline efficiency 
• Mentor and guide junior data engineers, contributing to their professional development. Stay updated with the latest data engineering technologies and trends and share your insights with the team 

Skills and Qualifications:

• Bachelor's degree in a related field (Computer Science, Engineering, etc.) 
• 5+ years of experience in data engineering roles 
• Proven expertise in data engineering, including extract, transform, and load processes, data modeling, and database technologies (SQL, NoSQL) 
• Strong programming skills in languages such as Python, Java, or Scala 
• Proficiency in data storage solutions, data warehousing, and cloud-based data platforms (AWS, Snowflake, GCP) 
• Knowledge of data governance, data quality, and compliance standards 
• E