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Lead Data EngineerPitchbook-Data • Seattle, Washington, United States
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Lead Data Engineer

Pitchbook-Data
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

At PitchBook, a Morningstar company, we prioritize innovation, collaboration, and a culture of curiosity. We invest in learning and mentorship to help our team members grow in a rapidly evolving industry.
About the Role The Data Operations team is critical to delivering top‑quality data to our customers. As a senior data engineer, you will lead the design and development of scalable data pipelines and workflows, mentor teammates, and bridge gaps between operations and engineering.
Primary Job 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
Identify opportunities to modernize tooling, improve performance, and reduce operational overhead
Act as a technical mentor and coach a team of data engineers with diverse experience levels
Uplevel the team’s capabilities in SQL, Python, data modeling, and system design
Establish coding standards, review processes, and develop best practices
Help bridge the gap between operationally minded team members and software engineering rigor
Serve as the primary technical point of contact for Data Operations leadership and key stakeholders
Partner with Product, Engineering, and Data Platform teams to align architecture and shared capabilities
Translate business and operational needs into clear technical requirements and solutions
Influence prioritization and roadmap decisions within Data Operations initiatives
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
Deeply understand Data Operations processes and identify opportunities for automation and optimization
Balance speed and quality in a fast‑moving, ambiguity‑rich environment
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested
Skills and Qualifications
Bachelor’s degree in computer science, engineering, statistics, information systems, or related field
5+ years of experience in data engineering or related roles
Advanced SQL skills and strong experience working with large, complex datasets
Strong Python experience for data processing, automation, and pipeline development
Proven experience building and maintaining ETL/ELT pipelines (batch and event driven) and data workflows
Experience with data warehousing concepts and modern data stacks (e.g., Snowflake or similar)
Ability to design scalable, maintainable data models and systems
Strong communication skills, with the ability to work effectively with both technical and non‑technical stakeholders
Demonstrated experience mentoring or guiding other engineers (formally or informally)
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
Exposure to cloud platforms (AWS, Azure, or GCP)
Experience improving data quality, observability, and governance practices
Experience applying AI/ML or automation techniques to improve operational efficiency
Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits Physical Health
Additional medical wellness incentives
STD, LTD, AD&D, and life insurance
Emotional Health
Paid sabbatical program after four years
Paid family and paternity leave
Annual educational stipend
Ability to apply for tuition reimbursement
CFA exam stipend
Robust training programs on industry and soft skills
Employee assistance program
Generous allotment of vacation days, sick days, and volunteer days
Social Health
Matching gifts program
Employee resource groups
Dependent Care FSA
Employee referral bonus program
Quarterly team building events
Shared ownership employee stock program
Monthly transportation stipend
Compensation
Annual base salary: $175,000 - $220,000
Target annual bonus percentage: 15%
Working Conditions This role is expected to be in the office 5 days a week. The job involves using a PC and phone throughout the day, with limited corporate travel to other business meetings or events.
Equal Employment Opportunity Statement As set forth in PitchBook Data’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request information to measure the effectiveness of our outreach and positive recruitment efforts under VEVRAA. This information is recorded and maintained in a confidential file and is not considered in the hiring process.
We encourage you to apply even if you do not meet every requirement. You may be the right candidate for this or other roles at PitchBook.
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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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