Dalio Family Office

Dalio Family Office Overview

The Dalio Family Office (DFO) supports Barbara and Ray Dalio and their family in their ventures, investments, and philanthropic efforts under Dalio Philanthropies, which includes OceanX, Dalio Education, Endless Network, and the Beijing Dalio Foundation. The core of the DFO’s culture is built around meaningful work and meaningful relationships and the family’s commitment to giving back. The office is headquartered in Westport, CT with regional offices in New York City, Singapore, and Abu Dhabi.

Investments Pillar Overview

The Investment Pillar exists to support the long-term financial viability of the Dalio Family Enterprise through a thoughtfully risk-managed and exceptionally executed investment strategy. Its primary focus is preserving and growing family capital while ensuring alignment with the family's long-term objectives.

Position Summary

The Senior Data Engineer will help build and maintain our data platform that supports internal investment and research initiatives. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining the enterprise data warehouse and data architecture. This position 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.

Day-to-day responsibilities would include a combination of the following

Acquire, manage, and integrate datasets from diverse sources to support business and research needs.
Design, build, and maintain scalable data pipelines and infrastructure that ensure data quality, reliability, and availability.
Partner with quantitative researchers, investment analysts, and cross-functional teams to deliver data solutions aligned with business objectives.
Clean, normalize, enrich, and validate data to improve usability and accuracy.
Conduct exploratory data analysis to identify trends, patterns, and actionable insights.
Monitor, troubleshoot, and optimize data systems to ensure efficient processing and performance.
Develop and maintain data models, documentation, and technical standards.
Ensure compliance with data governance, security, and regulatory requirements.
Support data-related projects and system integrations, delivering solutions on time and driving continuous improvement.

The ideal candidate will possess the following knowledge, skills, attributes, and values

Strong problem-solving mindset with the ability to translate complex business and research needs into scalable data solutions.
Demonstrated expertise in data engineering, including building and maintaining reliable data pipelines and infrastructure.
Strong analytical skills with experience performing data exploration, quality assessment, and insight generation.
Collaborative approach with the ability to partner effectively with quantitative researchers, investment professionals, and cross-functional stakeholders.
Commitment to data integrity, governance, security, and continuous improvement through innovation and process optimization.

Illustrative Benefits:

100% company paid medical premiums
17 company paid holidays
Friday summer hours
Monthly community happy hours
Hybrid work environment
Free catered food services for in-office days
Generous PTO offering
Casual dress code
150% 401(k) match up to $7,500 and 100% match above $7,500 ($15k match limit)
Gym reimbursement, back up childcare services, insurance, financial, and legal services, and much more!

Qualifications

Master’s Degree
Solid understanding of data architecture, data modeling, and data manipulation.
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.