Data Engineer
Seattle, Washington, United States
Applications have closed
PitchBook Data
PitchBook provides the best private market data through the PitchBook Platform, a suite of award-winning software applications. Learn more now!At PitchBook, 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 mentorship, education and training programs 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:
The PitchBook Business Intelligence team embraces this data-driven ethos by delivering key analytics and insights internally to every facet of our business. Our work is manifested as tools and data to help the enterprise grow and run more efficiently at both strategic and tactical levels. Simply put, we believe that the data we build is our competitive advantage for making the most of our resources while we bring the most compelling product possible to market.
To that end, as our scope of data integration and analysis expands so do the needs of the Business Intelligence team. We’re looking for a person with the ability to work with a range of data and reporting technologies (eg. Python, Docker, Tableau, Power BI) in order to build upon a strong foundation of rigor, quantitative techniques and efficient processing. The Data Engineer will join other Engineers and Analytics professionals as part of the team that develops data pipelines and insights for our internal stakeholders across Sales, Customer Success, Marketing, Research, Product, Finance and Administration.
Primary Job Responsibilities:
- You’ll be PitchBook’s expert at building unified data tech to support advanced and automated business analytics
- Design, develop, document and maintain database and reporting structures used to compile insights
- Define, develop and review extract, transform and load processes and data modeling solutions
- Consistently evolve data processes and techniques in accordance with industry best practices
- Establish and help define reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities and measure business performance against objectives
- Contribute to the ongoing improvement of quality assurance standards and procedures
Skills and Qualifications:
- Bachelor's degree in Economics, Business, Finance, Engineering, Statistics, Computer Science or related fields
- 2 years of relevant work experience creating and maintaining data pipelines and architecture
- Understanding of advanced data warehousing concepts, data modeling and extract, transform and load development
- Advanced SQL skills with experience querying large datasets from multiple sources and developing automated reporting
- Python skills for scripting, data manipulation, custom extract, transform and loads and statistical/regression analysis particularly, as they apply to sales and marketing operations and performance
- Experience with software programs, such as Tableau, Microsoft Power BI, Docker, Linux and Postgres
- 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
- Experience with presenting actionable insights to business stakeholders
- Experience with: Airflow, Luigi, Amazon Web Services, Microsoft Azure, Git, Postgres, Debezium and Kafka is preferred
- Experience with Snowflake development and cloud data warehousing is preferred
Benefits 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.
Life At PB:
We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It’s our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning and reflecting on what we’ve heard creates a sense of belonging within PitchBook and strengthens the PitchBook community.
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.
#LI-BL1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Azure Business Analytics Business Intelligence Computer Science Data pipelines Data Warehousing Docker Economics Engineering Excel Finance Git Kafka Linux Pipelines PostgreSQL Power BI Python Research Snowflake SQL Statistics Tableau
Perks/benefits: 401(k) matching Career development Gear Health care Medical leave Paid sabbatical Salary bonus Team events Wellness
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