Data Engineer
Location: Atlanta, GA
Job Type: Direct Hire
Company: TRC Talent Solutions
Salary: $100,000 - $140,000 Per Year
Category: Financial Services
Job Description Apply Now
If you are passionate about transforming data systems and modernizing reporting workflows, consider the Data Engineer opportunity with a leading investment management firm. As a Data Engineer, you will play a pivotal role in developing scalable data infrastructure, automating reporting processes, and ensuring the delivery of accurate and comprehensive data to institutional clients. This full-time position offers the chance to work at the crossroads of data engineering, investment operations, and client reporting, all within a dynamic and innovative environment.
In this Data Engineer role, you will be responsible for designing, building, and maintaining the pipelines that power essential performance reporting and analytics. This involves developing robust ETL workflows using Python and SQL, connecting multiple portfolio and risk systems, and creating centralized datasets that serve as the foundation for reliable reporting. Your work will directly impact the accuracy, clarity, and usability of investment reports, making a tangible difference in how clients view and utilize data-driven insights.
As a Data Engineer, you will have the opportunity to challenge and improve legacy processes, redesign manual workflows, and implement automation solutions that increase efficiency and auditability. You will introduce new tools for exception flagging and validation, as well as explore artificial intelligence-assisted processes to enhance reporting speed and accuracy. By strengthening data controls and governance, you will help resolve discrepancies, automate quality checks, and ensure the integrity of performance and position data.
This position requires close collaboration with investment, product, operations, and compliance teams, supporting both standard and custom reporting needs. A strong technical foundation in Python and SQL is essential, as is experience in data-intensive financial environments such as asset management or hedge funds. Familiarity with industry platforms such as FactSet, Bloomberg, Aladdin, Charles River, SimCorp, Advent/Geneva, Eagle, Enfusion, or FIS is preferred, as is a solid understanding of portfolio accounting, performance calculations, and data reconciliation.
The Data Engineer role also emphasizes clear communication skills, as you will be expected to explain technical concepts to both technical and non-technical stakeholders. Your ability to identify inefficiencies, redesign processes, and drive continuous improvement will be highly valued. If you enjoy working in a fast-paced, evolving setting and are motivated by the chance to own impactful projects, this is the perfect opportunity to contribute to the ongoing innovation of a respected investment management organization.
This position offers direct ownership of client-facing data outputs, the opportunity to rebuild reporting and data infrastructure from the ground up, and exposure to a wide range of investment, trading, and operational workflows. You will be part of an environment that prioritizes automation, systems thinking, and continuous enhancement.
We encourage all qualified candidates who meet the requirements and are looking to advance their career as a Data Engineer to apply by clicking the job application button below. Join a team that values your expertise and is committed to supporting your professional growth.
Data Engineer - Summary- Lead development and modernization of data pipelines for institutional client reporting
- Automate and redesign reporting workflows to increase efficiency and reliability
- Ensure the accuracy, timeliness, and consistency of client-facing data and reports
- Collaborate with cross-functional teams within investment management
- Design, build, and maintain scalable ETL workflows using Python and SQL
- Connect portfolio, performance, and risk systems to create unified datasets
- Automate manual reporting processes and eliminate workflow bottlenecks
- Strengthen data controls, governance, and reliability through automated checks
- Enhance the clarity and structure of client reports and reporting templates
- Deploy intelligent automation tools for exception management and data validation
- Support custom client reporting and respond to evolving business needs
- Communicate effectively with technical and non-technical stakeholders
- Competitive salary package aligned with industry standards
- Comprehensive benefits including health insurance and retirement plans
- Opportunities for professional development and career advancement
- Positive and collaborative work culture
- Experience in financial data or reporting environments (asset management, hedge funds, or similar)
- Advanced proficiency in SQL and Python for data processing and automation
- Understanding of investment data concepts such as portfolio accounting and performance attribution
- Familiarity with financial data platforms (e.g., FactSet, Bloomberg, Aladdin, Charles River, SimCorp, Advent/Geneva, Eagle, Enfusion, FIS) is preferred
- Ability to redesign workflows and identify process inefficiencies
- Strong written and verbal communication skills
- Technical expert in Python and SQL
- Proven experience working with financial data in a reporting context
- Systems thinker with a passion for process improvement and automation
- Effective collaborator comfortable working across teams
- Detail-oriented with a focus on data quality and integrity
- This full-time Data Engineer role is based in a region known for its vibrant business community and opportunities for professional networking
- The company fosters an environment of automation, continuous improvement, and innovation
- Direct impact on client-facing outputs and reporting infrastructure
TRC Talent Solutions is proud to be an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.