Sr. Research Intelligence Engineer
PitchBook Data · Seattle, Washington, United States
Posted 14 days ago · $145,000-$185,000
or apply directly on PitchBook Data's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 14 days PitchBook Data's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 78% of PitchBook Data's roles list one
- Ghost-job risk at PitchBook Data
- high 17 stale, 1 reposted of 27 open
- Hiring momentum
- 49 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from PitchBook Data's own greenhouse board since 2026-08-03. Full hiring picture for PitchBook Data.
About this role
As a Senior Research Intelligence Engineer at PitchBook, you will be integral to managing data products and processes, ensuring the delivery of high-quality reports and analytics. Your role involves collaborating with various teams to implement methodologies, maintain data pipelines, and streamline research processes. You will also support junior engineers and participate in company initiatives, all while fostering a culture of curiosity and collaboration.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PitchBook Data as an employer.
What you need
- 7+ years of experience in data engineering, data analysis, or data-driven research
- Demonstrated proficiency in SQL and Python
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Nice to have
- Demonstrated proficiency in software development and deployment techniques, including AI-enabled coding tools
- Demonstrated experience working cross-functionally with technical teams to deploy complex tools and methodologies to production
- Strong understanding of financial concepts such as valuation techniques, startup cap tables, internal rate of return, and portfolio management
- Strong interest in M&A and private financial markets
- Bachelor's degree in a quantitative or technical field — Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or quantitative Finance/Economics — preferred
What you get
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
Worth weighing
- Role requires being in the office 5 days a week, which may not suit candidates looking for remote flexibility
- The position involves a high level of collaboration and communication, which may not appeal to those who prefer independent work
- No specific mention of career advancement timelines or paths, though opportunities are implied
- The job involves managing complex data processes, which may require ongoing learning and adaptation to new tools
Summarised from PitchBook Data's posting. Read the full original.
Listed by PitchBook Data on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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