Senior Associate, Investment Engineering (Analytics Platforms)

Dimensional Fund Advisors; Town of Charlotte (NY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Dimensional Fund Advisors seeks an experienced Analytics Platforms professional to architect data platforms and build scalable data pipelines for client insights. The role partners with Portfolio Management and the Global Client Group to shape data solutions and deliver reliable, production-grade infrastructure.

You will drive data engineering strategies, lead senior stakeholders, and translate complex technical architectures into clear concepts for investment teams, with a strong emphasis on

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Financial Engineering, or a highly quantitative field.
• 7-10+ years of hands-on experience writing SQL, developing production-level Python, and engineering complex pipelines with large financial datasets.
• Proficiency in backend semantic layers and frontend solutions using BI platforms like Tableau, Power BI, Looker, or custom web apps.
• Ability to independently build and scale data products from database ingestion to user interface, translating feedback into schemas and designs.
• Experience leading data engineering strategies and managing senior stakeholders.
• Strong data storytelling skills explaining complex tech to investment professionals and business teams.

Responsibilities

• Architect, write code for, and optimize internal data platforms and self-service applications, ensuring secure, high-performance data access.
• Independently design and build automated data pipelines, semantic layers, and scalable data models translating investment workflows into production-grade infrastructure.
• Set the technical benchmark by writing clean, testable code, conducting code reviews, and resolving complex debugging issues.
• Act as the technical translator and product owner, partnering with Portfolio Management and Global Client Group to gather requirements and engineer solutions.
• Own the end-to-end technical product lifecycle, managing feature roadmaps and system enhancements to guarantee uptime, data reliability, and CI/CD.

Skills

SQL

Python

Data pipelines

Data storytelling

Stakeholder management

Data product development

Education

Bachelor’s degree in Computer Science / Information Systems / Software Engineering / Financial Engineering

Tools

Tableau

Power BI

Looker

Custom web apps

Job description

Job Description:

Investment Engineering is part of the Investments Team within Dimensional. Investment Engineering is responsible for ownership of investment data and analysis tools, which means managing said data from acquisition through distribution, driving analysis to create insights from data, and creating the and analysis consumed by internal and external clients and reports. Investment Engineering is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional.

Within Investment Engineering, the Analytics Platforms team creates tools, content, and reporting for clients to understand Dimensional’s products and analyze how they might fit inside a client’s portfolio.

Responsibilities

• Architect, write code for, and optimize internal data platforms and self-service applications, ensuring secure, high-performance user access to data.

• Independently design and build robust automated data pipelines, semantic layers, and scalable data models that cleanly translate complex investment workflows into production-grade infrastructure.

• Set the technical benchmark by writing clean, testable code, conducting rigorous code reviews, and resolving complex debugging issues.

• Act as the technical translator and product owner, partnering with departments like Portfolio Management and the Global Client Group to gather raw requirements and directly engineer technical solutions.

• Own the end-to-end technical product lifecycle, managing both product feature roadmaps and hands-on system enhancements to guarantee uptime, data reliability, and continuous deployment (CI/CD).

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Financial Engineering, or a highly quantitative field.

• 7-10+ years of hands-on experience writing advanced SQL, developing production-level Python, and engineering complex pipelines with large financial datasets.

• Deep technical proficiency in designing and implementing backend semantic layers and frontend solutions using BI platforms like Tableau, Power BI, Looker, or custom web apps.

• Proven ability to independently build and scale data products from database ingestion to user interface. Experience translating abstract user feedback into concrete database schemas and system designs.

• Demonstrated ability to lead, driving data engineering strategies, executing complex technical initiatives, and managing senior stakeholders.

• Exceptional data storytelling skills, with a proven ability to translate complex technical architectures into clear concepts for investment professionals and business teams.

This role is not eligible for immigration sponsorship.

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Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.

It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.