Lead Data EngineerSeattle, Washington, United StatesAt PitchBook, 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, PitchBook is the place for you.About the Role:At PitchBook, we believe that the Data Operations team plays a vital role in setting us apart from our competitors. We take immense pride in providing top-quality data to our customers, while also being accountable, collaborative, and receptive to feedback. Our team members are highly engaged, detail-oriented, and always eager to learn and grow as our industry evolves.Our reputation for excellence is a direct result of our deep commitment to building the world's best private market database, and we recognize the importance of investing in our team members from day one. That's why we offer specialized training and a mentorship program that is tailored specifically to the needs of the Data Operations team.We value and celebrate the diverse perspectives, talents, and experiences of our team members and recognize the importance of building trust and strong cross-functional partnerships.
If you're looking for a challenging and rewarding opportunity to take your career to new heights, we invite you to join us at PitchBook.Primary Job Responsibilities:Lead the design and development of scalable data pipelines and workflows that support Data OperationsDefine and implement best practices for data modeling, pipeline orchestration, testing, and monitoringDrive improvements in data architecture, including warehousing, transformation layers, and data access patternsIdentify opportunities to modernize tooling, improve performance, and reduce operational overheadAct as a technical mentor and coach a team of data engineers with diverse experience levelsUplevel the team's capabilities in SQL, Python, data modeling, and system designEstablish coding standards, review processes, and develop best practicesHelp bridge the gap between operationally minded team members and software engineering rigorServe as the primary technical point of contact for Data Operations leadership and key stakeholdersPartner with Product, Engineering, and Data Platform teams to align architecture and shared capabilitiesTranslate business and operational needs into clear technical requirements and solutionsInfluence prioritization and roadmap decisions within Data Operations initiativesBuild and maintain data solutions that integrate human-driven workflows with automated systemsDevelop reporting and monitoring solutions to ensure data quality, pipeline reliability, and operational visibilityDeeply understand Data Operations processes and identify opportunities for automation and optimizationBalance speed and quality in a fast-moving, ambiguity-rich environmentSupport the vision and values of the company through role modeling and encouraging desired behaviorsParticipate in various company initiatives and projects as requestedSkills and Qualifications:Bachelor's degree in computer science, Engineering, Statistics, Information Systems, or related field5+ years of experience in data engineering or related rolesAdvanced SQL skills and strong experience working with large, complex datasetsStrong Python experience for data processing, automation, and pipeline developmentProven experience building and maintaining ETL/ELT pipelines (batch and event driven) and data workflowsExperience with data warehousing concepts and modern data stacks (e.g., Snowflake or similar)Ability to design scalable, maintainable data models and systemsStrong communication skills, with the ability to work effectively with both technical and non-technical stakeholdersDemonstrated experience mentoring or guiding other engineers (formally or informally)Experience working with large-scale proprietary data environmentsFamiliarity with orchestration tools (e.g., Airflow) and modern data toolingExperience with BI tools such as Tableau or Power BIExposure to cloud platforms (AWS, Azure, or GCP)Experience improving data quality, observability, and governance practicesExperience applying AI/ML or automation techniques to improve operational efficiencyMust be authorized to work in the United States without the need for visa sponsorship now or in the futureBenefits + Compensation at PitchBook:Physical HealthComprehensive health benefitsAdditional medical wellness incentivesSTD, LTD, AD&D, and life insuranceEmotional HealthPaid sabbatical program after four yearsPaid family and paternity leaveAnnual educational stipendAbility to apply for tuition reimbursementCFA exam stipendRobust training programs on industry and soft skillsEmployee assistance programGenerous allotment of vacation days, sick days, and volunteer daysSocial HealthMatching gifts programEmployee resource groupsSubsidized emergency childcareDependent Care FSACompany-wide eventsEmployee referral bonus programQuarterly team building eventsFinancial Health401k matchShared ownership employee stock programMonthly transportation stipend*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.CompensationAnnual base salary: $175,000 - $220,000Target annual bonus percentage: 15%Working Conditions:At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.The job conditions for this position are in a standard office setting.
Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.