Sr. Machine Learning Engineer

About the Role

You will be responsible for designing, building, and maintaining the data infrastructure that powers Pitchbook Data's products. You will work closely with product, engineering, and analytics teams to ensure data quality, reliability, and performance. This is a hands-on role that requires strong technical skills and a passion for data engineering.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes
• Develop and implement data storage solutions, including data warehouses and data lakes
• Optimize data infrastructure for performance, reliability, and cost-efficiency
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Implement data quality controls and monitoring systems
• Stay up-to-date with industry trends and best practices in data engineering
• Document data architecture, processes, and procedures

Required Qualifications

Education:

• Bachelor's degree in Computer Science, Engineering, or a related field

Experience:

• 3+ years of experience in data engineering or a related field
• Experience with data warehousing, ETL processes, and data modeling
• Strong SQL skills and experience with database technologies
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience with data pipeline tools and technologies (e.g., Apache Airflow, Kafka)
• Experience with data storage solutions (e.g., Snowflake, Redshift, BigQuery)
• Experience with data quality and monitoring tools
• Experience with data security and governance practices

Skills:

• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team
• Detail-oriented with a focus on quality and accuracy
• Adaptable and willing to learn new technologies and approaches

About Pitchbook Data

Pitchbook Data is a leading provider of data and analytics for the venture capital, private equity, and M&A industries. We help investors, entrepreneurs, and advisors make better decisions by providing them with the most comprehensive and accurate data available.

Our team is passionate about data and technology, and we are committed to building the best possible products for our clients. We are a fast-growing company with a strong culture of innovation, collaboration, and excellence.

Benefits

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• 401(k) plan with company match
• Flexible work schedule and remote work options
• Professional development and training opportunities
• Generous vacation and paid time off
• Company retreats and team-building events