Edgestream
FinTech
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Edgestream. Skills: Data engineering, Python development, Data infrastructure. Build scalable ETL pipelines. Maintain scalable ETL pipelines”
Industry & Context.
Problem-solving ability
Not accepting H-1B applicants, Not sponsoring new H-1B visas
What They're Looking For.
Must Have
Bachelor's or Master's degree, Proficiency in Python, Familiarity with ETL, Familiarity with data validation, Familiarity with schema management, Ability to communicate clearly, Work collaboratively in team
Nice to Have
No prior finance experience required
What You'll Do.
Build scalable ETL pipelines
Maintain scalable ETL pipelines
Handle critical financial data
Drive automation of workflows
Automate exception handling
Develop Python-based data tools
Monitor data pipelines
Diagnose data quality issues
Resolve data quality issues
Diagnose operational issues
Resolve operational issues
Facilitate onboarding of data sources
Execute exploratory analyses
Execute validation analyses
Contribute to development of monitoring tools
Contribute to development of logging tools
Contribute to development of reporting tools
Work in Linux environment
Work in distributed computing environment
Identify opportunities to improve reliability
Identify opportunities to improve performance
Identify opportunities to improve clarity
How You'll Work.
Team & Collaboration
Senior data engineers; Data scientists; Researchers; Portfolio managers; Trading operations staff
Communication Scope
Communicate clearly
Process & Methodology
Take initiative, Solve problems independently, Take ownership of tasks, Follow tasks to completion
Full Job Description
About Us Edgestream Partners is a team of scientists, engineers, and investment professionals dedicated to developing quantitative models of financial markets and deploying them in systematic trading strategies continuously across global markets. Our work sits at the intersection of research, technology, and investment management, where rigorous analysis and robust engineering come together to build scalable trading systems. Our culture has more in common with a research lab or high-growth technology company than with a traditional financial institution. We value intellectual curiosity, creativity, diligence, and integrity. We focus on long-term thinking, investing in ideas and systems that are designed to endure and evolve as markets and technologies change. Collaboration is central to how we work - we believe that an open exchange of ideas and close collaboration across disciplines allow us to build stronger models and better infrastructure that can ultimately empower better outcomes. Founded in 2003, Edgestream has grown into a firm where thoughtful, high-quality work can have a meaningful and lasting impact. We continue to expand our capabilities and are looking for talented individuals who are excited to contribute to a collaborative research environment and grow with us in the years ahead. About the Job Edgestream is seeking a Data Engineer to build, scale and support our core data infrastructure used in both live trading and research. This role is ideal for an early to mid-career engineer with strong Python skills, a solid technical foundation, attention to detail, and a demonstrated ability to take initiative and solve problems independently. You will work closely with senior data engineers, data scientists, and researchers, gaining exposure to the full lifecycle of financial data—from ingestion and validation to research and live trading systems. Responsibilities: Design, build, and maintain scalable, high-performance ETL pipelines that handle critical fina
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