Senior Data Engineer

$200,000 - $220,000/Yr

Carlyle Investment Management - Washington, DC

Full-time - Mid Level

Washington, DC

1,001-5,000 employees

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Carlyle Group is seeking a highly skilled Graph Engineer to enhance its data science capabilities by developing an internal knowledge graph. This role focuses on building a robust dataset foundation for various analysis and prediction use cases, ensuring high reliability and efficiency in data solutions.

Responsibilities

• Lead the engineering team in building, scaling, and maintaining robust data solutions to support the firm's objectives.
• Oversee the development of end-to-end data pipelines, including data acquisition, loading, and transformation, ensuring high reliability and efficiency.
• Collaborate with business stakeholders to convert business needs into technical specifications, guiding projects from conception through to production.
• Implement rigorous testing and monitoring practices to maintain superior data quality and integrity.
• Mentor and develop junior team members, fostering a culture of excellence and continuous learning within the team.
• Implement software engineering processes and best practices within the team and broader organization.

Requirements

• A bachelor's degree or higher in a STEM field is required.
• At least 7 years of experience in data engineering or a related discipline, with a proven track record of success.
• Minimum of 2 years in a leadership role, managing tech teams or serving as a staff manager.
• Expertise in Python and SQL, with a strong foundation in data manipulation and analysis.
• Proficient with Snowflake and dbt for data warehousing and transformation tasks.
• Experience with Databricks (PySpark) for large-scale data processing.
• Demonstrated experience in designing and implementing complex data systems from the ground up.
• Excellent communication skills required, both verbal and written.

Nice-to-haves

• Experience in the financial services or private equity industry is preferred.
• Knowledge of graph databases and machine learning is a plus, enhancing data analysis and insight generation capabilities.
• Familiarity with machine learning, especially in feature engineering for training models and inference.

Benefits

• Comprehensive benefits package including retirement benefits, health insurance, life insurance, and disability.
• Paid time off and paid holidays.
• Family planning benefits and various wellness programs.
• Eligibility to participate in an annual discretionary incentive program based on performance.