PitchBook Data

Lead Data Engineer

Seattle, Washington, United States

Sponsorship not specifiedDetected 21 hours ago
PythonSQLSnowflakeAWSGCPAzureCloud PlatformsAirflowData EngineeringData VisualizationStatisticsExcelLeadershipCommunicationMentoring

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.

Responsibilities

  • Lead the design and development of scalable data pipelines and workflows that support Data Operations
  • Define and implement best practices for data modeling, pipeline orchestration, testing, and monitoring
  • Drive improvements in data architecture, including warehousing, transformation layers, and data access patterns
  • Uplevel the team's capabilities in SQL, Python, data modeling, and system design
  • Establish coding standards, review processes, and develop best practices
  • Partner with Product, Engineering, and Data Platform teams to align architecture and shared capabilities
  • Build and maintain data solutions that integrate human-driven workflows with automated systems
  • Develop reporting and monitoring solutions to ensure data quality, pipeline reliability, and operational visibility

Requirements

  • Bachelor's degree in computer science, Engineering, Statistics, Information Systems, or related field
  • 5+ years of experience in data engineering or related roles
  • Strong Python experience for data processing, automation, and pipeline development
  • Experience with data warehousing concepts and modern data stacks (e.g., Snowflake or similar)
  • Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders
  • Experience working with large-scale proprietary data environments
  • Familiarity with orchestration tools (e.g., Airflow) and modern data tooling
  • Experience with BI tools such as Tableau or Power BI
  • Advanced SQL skills and strong experience working with large, complex datasets
  • Proven experience building and maintaining ETL/ELT pipelines (batch and event driven) and data workflows
  • Ability to design scalable, maintainable data models and systems
  • Demonstrated experience mentoring or guiding other engineers (formally or informally)
  • Exposure to cloud platforms (AWS, Azure, or GCP)
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Company info

  • At PitchBook, a Morningstar company, we are always looking forward.
  • We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
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This listing is sourced directly from PitchBook Data's careers page and normalized into a canonical job model.