Senior Data Engineer

The Dalio Family Office (DFO) supports Barbara and Ray Dalio and their family in their ventures and investments as well as their work through Dalio Philanthropies, including OceanX, Dalio Education, Endless Network, and the Beijing Dalio Foundation. The DFO is rooted in a culture of meaningful work and meaningful relationships and the family's legacy of giving back. The office is headquartered in Westport, CT with regional offices in New York City, Singapore and Abu Dhabi.

We are hiring a Senior Data Engineer to fully support our portfolio/investment reporting architecture. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining the enterprise data warehouse and data architecture. You will work closely with cross-functional teams to ensure data availability, scalability, and security across various systems. This will be a hands-on role with the opportunity to help shape our data ecosystem.

• →Acquire and ingest datasets from various sources to meet business needs.
• →Design, build, and manage robust data pipelines and infrastructure to ensure high data quality and reliability.
• →Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions.
• →Partner closely with quantitative researchers and investment analysts to ensure data products meet research requirements
• →Perform data cleansing, normalization, and enrichment to enhance data quality.
• →Conduct exploratory data analysis to uncover trends, patterns, and insights.
• →Develop and maintain documentation for data models, processes, and procedures.
• →Monitor and optimize data systems performance to ensure efficient data processing and retrieval.
• →Ensure compliance with data governance policies, security standards, and regulatory requirements.
• →Troubleshoot and resolve data-related issues and inconsistencies.
• →Stay updated with industry trends and advancements in data technology to recommend improvements.
• →Provide technical support and training to end-users as needed.
• →Collaborate with IT and other departments to integrate data systems with existing infrastructure.
• →Participate in data-related project planning and execution, ensuring timely delivery of deliverables.

• Solid understanding of data architecture, data modeling, and data manipulation.
• Experience building and supporting portfolio reporting and trading operations data platforms.
• Familiarity with Data Quality and Governance principles
• Experience building Data Quality frameworks
• Experience working closely with quantitative engineers & investment professionals
• Familiarity with financial services and compliance standards (e.g., GDPR, SOC 2)
• Familiarity with building API middleware / integration layers
• Excellent problem-solving skills and critical thinking.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.
• Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously.

• Over 6+ years of professional experience in financial data / quantitative engineering, ideally within a top company in the financial services industry.
• Degree in Computer Science, Math, Physics, or a similar field; a Master's is a plus.
• Strong proficiency in SQL and Python.
• Extensive experience with modern data warehousing platforms (Snowflake, Databricks, Redshift, Bigquery, etc.).
• Hands on experience with Apache Airflow or similar ETL & Orchestration tools.
• Experience with Terraform and infrastructure as code implementations
• Experience with cloud technology stacks (AWS, Azure, GCP) and CI/CD integrations (Gitlab).
• Hands on experience with common financial datasets like Bloomberg, FactSet, S&P Global, Macrobond, Finaeon, MSCI, etc.