Data Analytics Engineer

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.

• 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.

• Bachelor’s degree (Computer Science, Engineering, Math, Finance, or related field).
• 3+ years of professional experience in data engineering, analytics engineering, or a related field.
• Strong proficiency in Python and SQL.
• Experience with ETL/ELT orchestration (Dagster, Airflow, or Prefect).
• Hands-on use of dbt and modern analytics engineering practices.
• Strong understanding of data warehousing concepts and performance optimization.
• Experience building dashboards with Power BI (or similar).
• Excellent problem-solving and communication skills.

• Experience with AI/ML frameworks or applied NLP solutions.
• Experience building internal apps, APIs, or UIs for non-technical stakeholders.
• Familiarity with cloud-based data platforms (Azure, AWS, GCP).
• Experience mentoring or leading junior team members.

• Meaningful work: Own projects that directly impact investment decision-making and client engagement.
• Innovation: Lead initiatives at the forefront of AI, automation, and analytics in asset management.
• Collaboration: Work in a fast-paced, entrepreneurial culture that values curiosity, precision, and impact.
• Career path: Develop into a technical leader as the firm continues to expand its data and AI capabilities.

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.