Senior Data Engineer

Dalio Family Office•Westport, CT

1d•Hybrid

About The Position

The Senior Data Engineer will help build and maintain the Dalio Family Office’s data platform supporting internal investment and research initiatives. The role is responsible for designing, building, and maintaining the enterprise data warehouse and data architecture, working closely with cross-functional teams to ensure data availability, scalability, and security across systems. It is a hands-on position with the opportunity to help shape the data ecosystem. The Investment Pillar supports the long-term financial viability of the Dalio Family Enterprise through a risk-managed investment strategy, focused on preserving and growing family capital in alignment with the family’s long-term objectives. The Dalio Family Office supports the family’s ventures, investments, and philanthropic efforts, and is headquartered in Westport, Connecticut, with regional offices in New York City, Singapore, and Abu Dhabi. The position involves acquiring and integrating datasets, developing reliable data pipelines and infrastructure, partnering with quantitative researchers and investment professionals, improving data quality, analyzing data, and maintaining secure, governed, and well-documented data systems. Compensation is listed at $260,000–$400,000, inclusive of a merit-based bonus, and depends on experience, education, and skills. The employer is unable to provide immigration sponsorship.

Requirements

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 and investment professionals.
Familiarity with financial services and compliance standards, such as GDPR and SOC 2.
Familiarity with building API middleware or integration layers.
Excellent problem-solving skills and critical thinking.
Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Ability to collaborate in cross-functional teams and manage multiple projects simultaneously.
Demonstrated expertise in data engineering, including building and maintaining reliable data pipelines and infrastructure.
Strong analytical skills, including data exploration, quality assessment, and insight generation.
Commitment to data integrity, governance, security, continuous improvement, innovation, and process optimization.

Responsibilities

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 for 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.

Benefits

100% company-paid medical premiums.
17 company-paid holidays.
Friday summer hours.
Monthly community happy hours.
Hybrid work environment.
Free catered food services on in-office days.
Generous paid time off; the compensation section specifies 15 to 25 days based on years of service.
Paid sick and safe leave.
Dental, vision, life, and disability insurance.
Paid parental time off.
Birth mother recovery pay.
Sick family member pay.
Parental ramp-back-up program.
Gym reimbursement.
Backup childcare services.
Financial and legal services.
150% 401(k) match up to $7,500 and 100% match above $7,500, with a $15,000 match limit.
Casual dress code.