Sr. Data Engineer at NinjaTrader

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

160000.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, ETL, SQL, PowerBI, Tableau, Data Warehousing, Event-Driven Architectures, Agile Development, Cloud Data Warehouse, Bigdata, RedShift, Snowflake, Python, R, Collaboration, Data Development

Industry

Financial Services

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 on a mission to empower 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. Over the last 20 years, NinjaTrader has been dedicated to understanding and supporting traders on their journey toward trading triumph. In the last five years alone, our user base has grown by 400% to over 1.9 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 use large data sets enables NinjaTrader to serve customers better, identify new opportunities, and improve processes. As an accomplished data engineer reporting to the Data & Analytics Director, this is a terrific opportunity to join a fast-growing, revolutionary company and be part of our growing Data & Analytics team. In this role you will: Design, develop, and maintain data architecture and pipelines Develop and deliver scalable unit-tested data assets and products that empower analysts and drive business workflows Evaluate and continuously improve existing data products and solutions Work with engineers and product managers to analyze edge cases and plan for architectural scalability Manage the deployment of multiple data solutions such as business dashboards and machine learning models Be a staunch advocate for best-in-class data development and design Participate in design and code reviews with meaningful comments Participate in the team's Agile process Be a collaborative, helpful, and curious team member What you'll need: Bachelor's degree in Engineering, Computer Science, or related field 5+ years of experience with ETL, SQL, PowerBI, Tableau, or similar technologies Understanding of data warehousing technologies and event-driven architectures Experience working in a fast-paced Agile development environment Ability to work autonomously while interacting with multiple business teams and stakeholders Experience delivering solutions on Cloud Data Warehouse platforms like Bigdata, RedShift, or Snowflake Hands-on experience with Python/R Bonus points for: Experience with Python or other backend technologies Experience in fintech Passion for futures, derivatives, and trading technologies Compensation: The salary range for this role will be $140,000.00 - $160,000.00 USD. In addition, this position will also receive an annual target bonus of 10%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%). Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues at a rate of 18 days per year (some positions may qualify for more) plus seven paid holidays. Location: This role is based in Chicago, IL. *There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Virginia, Washington, Washington DC, Wisconsin. Hybrid: For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer: 20 additional flex remote days annually 5 Company Wide Office-Optional weeks tied to major holidays Our Core Benefits Include: Generous PTO 7 Paid Holidays Annually + 5 Conditional Holidays Annually 1 Service Day Annually 401k with 3.5% Company Match Paid Parental Bonding Leave Health, Vision, Dental Coverage Life and Disability Insurance Covered 100% by NinjaTrader We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

Responsibilities

Design, develop, and maintain data architecture and pipelines while delivering scalable data assets that empower analysts. Evaluate existing data products and manage the deployment of data solutions such as dashboards and machine learning models.