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Data Engineering Manager at PitchBook Data - ApplyBlast

Data Engineering Manager

PitchBook Data

1 month ago

3.4 on Glassdoor

Seattle, Washington, United States

Onsite

Full Time

Manager

0 applicants

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About this role

The Data Engineering Manager leads a team of skilled data engineers responsible for building and optimizing data pipelines, managing large-scale data models, and ensuring the quality and performance of enterprise data assets. This strategic and hands-on role involves guiding architectural decisions, mentoring engineers, and collaborating with cross-functional partners to deliver robust, scalable data solutions. The position focuses on empowering teams, improving data capabilities, and integrating AI/ML-driven solutions to enhance automation and decision intelligence.

Responsibilities

Lead and mentor a team of data engineers to foster a culture of excellence and continuous improvement
Define and drive the data engineering roadmap aligned with enterprise data strategy and business objectives
Oversee the design, development, and maintenance of high-quality data pipelines and ELT/ETL workflows

Skills

Qualifications

Bachelor's degree in Computer Science or EngineeringMaster's degree in Computer Science or Engineering

About PitchBook Data

pitchbook.com

Headquarters

Seattle, Washington, United States

Company Size

1001-5000 employees

Founded

2007

View Profile

PitchBook is a financial data and software company that provides comprehensive information and research on private capital markets, including venture capital, private equity, M&A, and public companies. Its subscription platform, APIs, Excel plugin and research reports deliver deal, fund, company, investor and valuation data along with analytics and market intelligence for investors, advisors, and corporate development teams. Trusted by GPs, LPs, investment banks and corporate strategists, PitchBook aggregates primary-sourced filings, news and proprietary research to support deal sourcing, due diligence, benchmarking and fundraising. The firm is part of Morningstar and focuses on integrating global coverage with tools for workflow integration and data export.