Senior Data Engineer

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.
• Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously.

Compensation:

Compensation for the role includes a competitive salary in the range from $260,000 -$400,000 (inclusive of a merit-based bonus, dependent on years of experience, level of education obtained, as well as applicable skillset) and an excellent benefits package, including  paid time off ranging from 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 and generous employer match for 401k. 

Please note we are unable to provide immigration sponsorship for this position.

Use of AI in the Application Process:

We recognize that candidates may use AI-enabled tools to assist with resume drafting, application preparation, and interview preparation. Such use is permitted provided all submitted materials accurately reflect the candidate's own qualifications, experience, skills, and work history.

Candidates may not submit hidden instructions, embedded prompts, misleading metadata, deceptive content, code, or other materials intended to interfere with or improperly influence the Company's recruiting process or the administration of candidate applications

Any attempt to misrepresent qualifications or improperly interfere with the recruiting process may result in disqualification from consideration.

At the DFO, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. The DFO treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes and general treatment during employment, including on the basis of actual or perceived race, creed, color, religion, sex, age, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, veteran status, or disability.