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Dimensional Fund Advisors

Data Engineer

full-time•Charlotte, Austin

Summary

Location

Charlotte, Austin

Type

full-time

Experience

10+ years

Company links

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About this role

Notes to applicants:

  • Dimensional sees great value from collaborating in our offices and appreciates the benefits of flexibility. Most roles fit our office-first hybrid approach: We are together on our campuses Tuesdays, Wednesdays, and Thursdays and have the choice to work in the office or remotely, depending on what is best for that work day, on Mondays and Fridays. This approach maximizes in-person collaboration and interaction while simultaneously providing flexibility and applies to most roles globally with a few exceptions that require more or less time in the office. Please discuss with your Recruiter to confirm the details for this specific role.

  • Resumes and portfolios (when applicable) are required as part of your application. When applying from a mobile device or tablet, you may not be able to attach a resume. If you cannot include an attachment at the time of your application, you will receive a follow up email asking you to attach your resume from a computer.

  • Here at Dimensional, we strive to be an inclusive workplace for all. Even if you do not match every qualification listed, if you are interested in who we are, what we do, and why we do it, we suggest and encourage you to apply.

  • The use of Artificial Intelligence during interviews and skill testing is prohibited, unless Dimensional Fund Advisors has authorized such use.

  • If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, such accommodation is available upon request.

   

Job Description:

You may be a fit for this role if you: 

  • Have agency: feel empowered to influence outcomes, rather than being passive. 

  • Are open-minded, curious, and resourceful 

  • Are passionate about/stay current with modern technologies 

  • Solve problems systematically and transparently 

  • Share ideas, solicit/integrate feedback, design and solve collaboratively 

  • Take a software engineering approach and demonstrate automation and security mindsets 

What you might work on: 

As a data engineer at Dimensional, you will have the opportunity to understand the users’ needs and solve problems like database and schema design and engineering, ETL pipelines, APIs, and microservice design and engineering. 

  • Accountable for the design, engineering and ongoing operations of robust, secure, and maintainable data architectures, pipelines, and services. 

  • Collaborate with data stewards, database administrators, platform engineers, developers, and site reliability engineers to develop and launch solutions for data ingestion, validation, quality control, integration, storage, management, and delivery.  

  • Independently work with clients to transform business objectives into technical designs, applications, and solutions. Participate in and contribute to the design of agile teams and ceremonies. 

  • Stay current on technology trends by learning and evaluating modern technologies. Advise business clients on technical capabilities as a data service provider / expert. 

  • Participate in code reviews and contribute to making continuous improvements to the team’s dev ops processes.  

  • Provide mentorship to junior team members and provide strategic input to senior management across various business and technology units. 

The successful candidate will be self-motivated and have a strong drive for learning and self-improvement while working within an engineering focused delivery team with cross-team departmental collaboration. 

Qualifications:  

  • Bachelor’s degree in a technical field or equivalent practical experience 

  • Deep expertise in designing and implementing various stages of Data lifecycle (from ingestion to distribution) using Snowflake as the core platform. 

  • 10+ years of experience with implementation of ETL/ELT pipelines, data governance, data quality controls, data version control, meta data management, and reporting analytics using cloud data technologies. 

  • Experience messaging and streaming platforms such as Kafka, RabbitMQ, or cloud-based messaging technologies. 

  • Experience with Python or equivalent dynamic languages 

  • Experience with C#, Java Typescript, or equivalent static languages 

  • Experience with Relational and Non-Relational databases and related schema design and development 

  • Working knowledge of Observability and DevOps concepts, tools, and continuous delivery pipelines. 

  • A deep understanding of cybersecurity best practices and a demonstrated ability to integrate best practices into development activities 

Preferred Competencies:  

  • Interest and ability to learn other coding languages as needed 

  • Ability to write in English fluently and idiomatically 

  • Advanced degree in a technical field or equivalent experience in engineering or practical experience 

  • Experience with agile/scrum methodologies 

  • Financial services industry experience 

  • Testing competencies with Test Driven Development, Behavioral Driven Development 

Experience with any of the following: 

  • Redis, PostgreSQL, MongoDB, SQL Server 

  • DBT, FiveTran etc. 

  • Numpy, Scipy, Pandas 

  • Airflow, Kafka, AWS, serverless/microservice architecture 

    

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. 

What you'll do

  • As a data engineer, you will design and maintain data architectures, pipelines, and services while collaborating with various teams to develop solutions for data management. You will also work independently with clients to translate business objectives into technical designs.

About Dimensional Fund Advisors

Dimensional has been implementing the great ideas in financial science since 1981. Our firm is driven by an evidence-based approach, Nobel Prize-winning insights, and decades of expertise pursuing outperformance over benchmarks and peers while maintaining low costs and diversification. Dimensional’s founders launched some of the first index funds in the 1970s. In the 1980s they broke new ground pioneering factor investing, starting the firm with the belief that investors could do better than indexing through a research-backed approach using up-to-date information on what can improve returns. We believe this can lead to better outcomes for investors than active stock-picking or passive indexing. Our commitment to research, rigor, and the pursuit of truth has helped transform the industry toward more transparent, data-driven solutions. That commitment continues to propel Dimensional forward today. Dimensional is headquartered in Austin, Texas, and has more than 1,500 employees in offices around the world. The firm offers a full suite of regional and global equity and fixed income solutions. As of September 30, 2025, Dimensional and its affiliates managed $915 billion for investors worldwide. __ Dimensional Fund Advisors LP is an investment advisor registered with the Securities and Exchange Commission. *“Dimensional” refers to the Dimensional separate but affiliated entities generally, rather than to one particular entity. These entities are Dimensional Fund Advisors LP, Dimensional Fund Advisors Ltd., DFA Australia Limited, Dimensional Fund Advisors Canada ULC, Dimensional Fund Advisors Pte. Ltd., Dimensional Ireland Limited, Dimensional Japan Ltd., and Dimensional Hong Kong Limited. Dimensional Hong Kong Limited is licensed by the Securities and Futures Commission to conduct Type 1 (dealing in securities) regulated activities only and does not provide asset management services. Important Disclosure: www.dimensional.com/social-media-terms-and-conditions

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Frequently Asked Questions

What does a Data Engineer do at Dimensional Fund Advisors?

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As a Data Engineer at Dimensional Fund Advisors, you will: as a data engineer, you will design and maintain data architectures, pipelines, and services while collaborating with various teams to develop solutions for data management. You will also work independently with clients to translate business objectives into technical designs..

Is the Data Engineer position at Dimensional Fund Advisors remote?

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The Data Engineer position at Dimensional Fund Advisors is based in Charlotte, North Carolina, United States and Austin, Texas, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Data Engineer position at Dimensional Fund Advisors?

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You can apply for the Data Engineer position at Dimensional Fund Advisorsdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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