Data Analytics Engineer

Job Description

Job Description

Join a high-performing team and design the data infrastructure that powers decision-making at a leading institutional asset manager.

Do you thrive at the intersection of data, technology, and business impact? Are you excited by the challenge of building scalable systems, automating complex workflows, and applying AI to real-world problems? Do you want to work in a collaborative and entrepreneurial culture where your technical expertise will directly shape outcomes?

EARNEST Partners is seeking an experienced Data Analytics Engineer to help design and maintain the firm’s modern data platform. This is a hands-on role with the opportunity to lead initiatives that transform how data is collected, managed, and used across the firm.

Core Responsibilities

• Architect and maintain a centralized data warehouse consolidating multiple internal and external data sources.
• Design, build, and optimize ETL / ELT pipelines using Python, SQL Server, Dagster, and dbt.
• Develop, maintain, and optimize Power BI dashboards and reporting workflows for investment and client teams.
• Build internal tools and UIs to enable employees to access and analyze portfolio and client data.
• Automate recurring workflows such as data cleaning, reporting, and information gathering.
• Develop and deploy AI-powered assistants and tools to enhance efficiency across the firm.
• Champion best practices in data engineering, including version control, testing, and CI / CD using GitHub.
• Collaborate across investment, operations, and client-facing teams to understand needs and deliver scalable solutions.

Qualifications

Bonus Points For

Why Join Us

EARNEST Partners is an award-winning, employee-owned asset management firm headquartered in Atlanta. We manage over $30 billion in equities and fixed income assets for a diverse client base, including corporate pension plans, state and municipal retirement systems, foundations, endowments, and high-net-worth individuals. Our collaborative and fast-paced culture values high-caliber talent, innovative thinking, and a passion for learning.

We believe the quality and experience of our team is an important competitive advantage.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.