PitchBook · 13 hours ago
Sr. Data Engineer
Seattle, WA
Full-time
Onsite
Senior Level
$140K/yr - $170K/yr
5+ years expPitchBook, a Morningstar company, is focused on innovation and collaboration to enhance customer experiences. The Sr. Data Engineer will build unified data technologies, develop and maintain reporting structures, and mentor less experienced engineers while contributing to the overall data strategy of the company.
AnalyticsFinanceVenture Capital
No H1B
Responsibilities
Expert at building unified data technologies 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, load, and transform (ELT) processes and data modeling solutions
Consistently evolve data processes and techniques following 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 KPIs against objectives
Contribute to the ongoing improvement of quality assurance standards and procedures
Mentor and guide less experienced data engineers, contributing to their professional development
Stay updated with the latest data engineering technologies and trends and share your insights with the team
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested
Qualification
Required
Bachelor's degree in a related field (Computer Science, Engineering, etc.)
5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture
5+ years of experience in data cleansing, governance, and quality/integrity
5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting
5+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis
Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka)
Experience with tools that capture and control data modeling change management (e.g. SQLMesh)
Experience building data alerting & notifications (e.g. on deviations, thresholds, etc.)
Experience building and managing tools for data observability and documentation (e.g. DataLab)
Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake)
Proficient in deploying data pipelines to a cloud-native, containerized deployment/delivery environment (e.g. Kubernetes)
Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards
Exceptional problem-solving skills and a track record of designing and optimizing data pipelines
Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders
Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Preferred
Experience working with enterprise technologies (CRM, ERP, Marketing Automation Platforms, Financial Systems, etc.) is a plus
Benefits
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
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
Matching gifts program
Employee resource groups
Subsidized emergency childcare
Dependent Care FSA
Company-wide events
Employee referral bonus program
Quarterly team building events
401k match
Shared ownership employee stock program
Monthly transportation stipend
Company
PitchBook
PitchBook offers financial data and tools on companies, deals, investors, and markets to support sales and business development.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$13.8MKey Investors
Morningstar
2016-10-14Acquired
2016-01-27Series B· $10M
2009-09-25Series A· $3.8M
Leadership Team
Mary Catherine Wolfe
Global Head of Talent Acquisition
Paul Stoddart
Chief Marketing Officer
Recent News
2026-01-17
2025-12-19
Company data provided by crunchbase