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- США
- Зарплата
- 120 000 $ – 135 450 $
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Data Engineer
Высокий балл за прозрачную и конкурентную зарплату, отличный пакет льгот (акции, обучение, саббатикал) и сильный бренд компании. Небольшое снижение из-за строгого требования работы в офисе 5 дней в неделю.
Сложность вакансии
Средний уровень сложности обусловлен требованием 2+ лет опыта и необходимостью совмещать навыки инженерии данных (ETL, парсинг) с бизнес-аналитикой и визуализацией. Также важным фактором является работа в офисе 5 дней в неделю.
Анализ зарплаты
Предлагаемая зарплата ($120k-$135k) полностью соответствует рыночным ожиданиям для Data Engineer уровня Middle в Сиэтле. С учетом целевого бонуса 10% совокупный доход находится в верхней части медианы для данного региона.
Сопроводительное письмо
I am writing to express my strong interest in the Data Engineer position at PitchBook. With over two years of experience in developing automated data pipelines and a robust technical stack including SQL, Python, and Tableau, I am confident in my ability to contribute to the Data Operations team's mission of providing top-quality private market data.
In my previous roles, I have successfully implemented web scraping and ETL processes that significantly reduced manual data entry, which aligns perfectly with your goal of synchronizing technology and human-powered processes. I am particularly drawn to PitchBook's culture of innovation and the opportunity to work in a collaborative, in-person environment where I can leverage my statistical knowledge and engineering skills to deliver intuitive data solutions.
I am eager to bring my operational mindset and technical expertise to your global team and help push the boundaries of what's possible in financial data engineering. Thank you for considering my application.
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Описание вакансии
At 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.
As a Data Engineer, you will work across a global team of analysts and data operation associates to develop new data technologies for Data Operations at PitchBook. We’re looking for a person who can combine proficiency in data engineering technologies (SQL, Python, R, Tableau, Power BI) with an operational mindset and deliver powerful new data processing tools to the team. You will also spend time learning PitchBook’s data operations processes and methodologies, establishing the process knowledge necessary to develop effective data solutions.
Primary Job Responsibilities:
- Develop data pipelines that automate data sourcing and processing
- Develop programs to synchronize technology and human-powered processes
- Design and maintain database and data warehousing solutions
- Develop automated reports to monitor and track data pipelines (Power BI, Tableau)
- Work alongside Data Operations teams to augment core technologies
- Serve as a data and engineering SME on cross-functional Data Operations initiatives
Skills and Qualifications:
- Bachelor's degree in Economics, Business, Finance, Engineering, Statistics, Computer Science, or related fields
- 2+ years of relevant experience working experience as a Data Engineer
- Advanced SQL skills, with experience querying large datasets from multiple sources and developing automated reporting
- Intermediate Python skills with experience in scripting, web scraping, optical character recognition, data manipulation, and extract, transform, and load
- Knowledge of statistical methods and regression analysis
- Proficiency in Tableau or Power BI (both is a plus)
- Excellent Microsoft Office/PC skills, Advanced Excel experience analyzing data and creating daily, weekly, and monthly reports
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
- Capable of investigating, familiarizing, and mastering new data sets quickly
- Excellent interpersonal skills, with the ability to communicate complex data issues correctly and clearly to both internal and external customers
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- 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
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly 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.*
Compensation
- Annual base salary: $120,000-$135,450
- Target annual bonus percentage: 10%
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.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
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Навыки
- SQL
- Python
- R
- Tableau
- Power BI
- ETL
- Web Scraping
- OCR
- Statistics
- Regression Analysis
- Excel
- Data Warehousing
Возможные вопросы на собеседовании
Проверка навыков оптимизации и работы с большими данными, что критично для PitchBook.
Расскажите о самом сложном SQL-запросе, который вы оптимизировали. С какими проблемами производительности вы столкнулись?
Вакансия требует навыков веб-скрейпинга и автоматизации на Python.
Опишите ваш опыт разработки инструментов для сбора данных (web scraping). Как вы обрабатываете динамический контент или блокировки?
Роль подразумевает тесное взаимодействие с операционными командами.
Как вы подходите к сбору требований от нетехнических специалистов при проектировании нового дашборда или пайплайна?
В описании упоминается синхронизация технологий и человеческих процессов.
Был ли у вас опыт автоматизации процессов, которые ранее выполнялись вручную? Как вы обеспечивали качество данных на выходе?
Упоминание статистических методов в требованиях предполагает аналитическую глубину.
Как вы используете статистические методы или регрессионный анализ в своей повседневной работе инженера данных?
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- Страна
- США
- Зарплата
- 120 000 $ – 135 450 $