Investment Data Engineer

Dimensional Fund Advisors; Austin (TX); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work arrangement

Comprehensive benefits

Professional development opportunities

Job summary

Dimensional Fund Advisors is seeking an Analyst/Associate for the Investment Engineering Data Solutions team in Austin. You will analyze investment data quality, manage large datasets, and design data products for internal and external clients.

You will work with SQL Server, Snowflake, and analytics tools to deliver clean, accurate data, automate processes, and mentor junior analysts within a collaborative, office-first hybrid environment.

Qualifications

• Bachelor's degree in Finance, Accounting, Computer Science, Engineering, Business, or a related field.
• Master’s degree and/or professional certifications (e.g. CFA) preferred.
• 3-5+ years of experience working with large investment datasets, performing quantitative analysis, and leveraging SQL, Python, or similar data management tools.
• Strongly preferred: experience working with financial data sets and vendor platforms (Bloomberg, Factset, Refinitiv, Morningstar, etc.).
• Demonstrated interest and passion for financial markets.
• Experience working in Agile/Scrum teams, writing business requirements, and communicating effectively with software engineers.

Responsibilities

• Support Dimensional's investment processes by ensuring tools and systems are built with appropriate business logic.
• Compile, cleanse, and manage large data sets from multiple sources to support investment systems.
• Research and evaluate vendor data to assess quality and recommend optimal consumption patterns.
• Conduct data analysis using SQL Server, Snowflake, and other structured/ unstructured database technologies.
• Partner with Portfolio Management, Trading, Compliance to address portfolio construction questions and perform related analysis.
• Collaborate with internal clients to gather and define requirements for core business systems, and then design, build, and test data pipelines in partnership with data engineer resources.
• Assist in shaping data architecture for internal distribution of investment data, including defining and building data structures for end-user consumption.
• Drive efficiency through automation, process design, and implementation.
• Mentor and provide guidance to junior analysts, fostering skill development and knowledge-sharing across the team.

Skills

SQL

Python

Data analysis

Agile/Scrum

Education

Bachelor's degree in Finance, Accounting, Computer Science, Engineering, or related field

Master’s degree and CFA preferred

Tools

Snowflake

SQL Server

Job description

Dimensional Fund Advisors is seeking an Analyst/Associate for the Investment Engineering Data Solutions team in Austin. You will analyze investment data quality, manage large datasets, and design data products for internal and external clients.

You will work with SQL Server, Snowflake, and analytics tools to deliver clean, accurate data, automate processes, and mentor junior analysts within a collaborative, office-first hybrid environment.