Sr. Data Engineer
NinjaTrader
| Company | NinjaTrader |
| Category | Engineering |
| Location | Chicago or Remote* |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 24 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Disclaimer: Please be advised that the most accurate and up-to-date information about our open roles—including job descriptions, compensation, and benefits—can only be guaranteed on our official job board. For the latest listings and details, please visit: https://job-boards.greenhouse.io/ninjatrader .
JOIN US ON OUR MISSION TO BECOME THE #1 RETAIL TRADING PLATFORM IN THE WORLD
Welcome to the dynamic world of NinjaTrader! As an industry-leading trading platform and futures broker, we're empowering traders to take control of their financial destiny. How do we do it? We provide cutting-edge products and services that enhance the trading journey. Whether a seasoned pro or just starting out, NinjaTrader equips traders with award-winning software and brokerage services to navigate the world's leading financial markets with confidence.
Our growth story is nothing short of exhilarating. Since 2003, NinjaTrader has been dedicated to understanding and supporting traders on their journey toward trading triumph. Through those efforts, our user base has grown to over 2 million users and we have become the number one rated futures brokerage worldwide.
But we're not stopping there. We're constantly evolving, pushing boundaries, and modernizing the futures industry. Our commitment to innovation means users will always have access to dynamic tools, real-time support, and a community of like-minded traders.
So, why work at NinjaTrader? Here, you're not just part of a team; you're part of a movement. We empower employees to reach new heights in their careers by providing a dynamic culture focused on social connection, professional development, and employee recognition initiatives. Sounds too good to be true? Take it from our employees.
Join us as we redefine what's possible in trading, advocate for our customers, and continue our journey toward becoming the world's top retail-focused trading platform in the world. What you'll do:
Your data-driven mindset and ability to work with large-scale data systems enable NinjaTrader to serve customers better, identify new opportunities, and improve processes. As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity to become part of a fast-growing, revolutionary fintech company shaping the future of retail futures trading.
At NinjaTrader, you'll play a key role in designing and operationalizing the modern data platform that powers our analytics, trading tools, and AI initiatives. This role is remote-friendly and reports to the Manager, Data & Analytics Engineering.
As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by providing the platform, tools, and infrastructure they need to deliver deployable solutions to real-world business problems. This goes beyond maintaining pipelines—it's about delivering best-in-class data architecture, scalable workflows, and real-time solutions that power trading, product development, and machine learning.
In this role you will:
Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases, including high-volume, low-latency data processing
Improve observability, alerting, and SLOs across data systems so pipelines are easier to monitor and issues are caught early
Optimize ETL/ELT workflows for performance, scalability, and fault tolerance
Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting for partner analysis
Build and support event-driven architectures and scalable platform components
Contribute to the orchestration and automation of workflows
Integrate complex financial APIs and third-party data sources into internal systems
Collaborate with analytics, product, and ML engineers to develop and deploy relia
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