Senior Data Engineer - Automated Trading

Belvedere Trading is a leading proprietary trading firm eagerly expanding into the heart of Boulder, Colorado. Our traders work hard to provide liquidity to the market using our automated trading systems and have mastered a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. This would not be possible without the dedicated efforts of our technology teams who develop and perfect our innovative technology solutions.

High-performance proprietary development is the source of our success and competitive advantage at Belvedere, further fueling our passion for performance. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry. We place a high premium on defining, developing, and deploying high-performance trading software using a team-based, holistic development approach. We are looking for passionate team members whose contributions will be critical to our continued success.

Belvedere Trading is looking for a Senior Data Engineer to join our team out of either Chicago, Illinois or Boulder, Colorado in a hybrid working model. Our Data Engineers are responsible for data services, including ELT and ETL pipeline implementation, data warehouse architecture, data quality automation, and analytic visualization. We expect a Senior Data Engineer to need minimal guidance on architecture best practices. You will work closely with System Operators, Quant Researchers, and Software Developers to support data-driven decision-making across the organization. As a Senior Data Engineer at Belvedere, you have the opportunity to work on supporting cutting-edge research in financial markets.

If you thrive in a fast-paced environment and have a passion for solving complex data challenges, we’d love to hear from you. 

What You'll Do

• Design, build, and maintain robust data pipelines and data infrastructure 
• Collaborate with cross-functional teams to define and implement data solutions 
• Develop and optimize ELT and ETL processes to ensure high-quality, accurate, and timely data delivery 
• Work with large datasets to perform data wrangling, cleaning, and transformation tasks 
• Monitor and troubleshoot data systems to ensure their reliability and performance. 
• Ensure data security, quality, and integrity throughout the data lifecycle 
• Stay up to date with industry trends and technologies to continuously improve the team’s data capabilities 
• Disseminate best practices for building and querying curated data sets 

What You'll Need

• 5+ years of proven experience as a Data Engineer or similar role with a strong background in data engineering 
• Proven expertise with SQL and Python 
• In-depth experience with data warehouses, cloud technologies (preferably GCP), and big data platforms 
• Experience with ELT/ETL tools and data pipeline orchestration (e.g., Dataform, Apache Airflow) 
• Strong understanding of the tradeoffs between different data platforms, including RDBMS, NoSQL, and Time Series 
• Expertise in data modeling and data warehousing 
• Proficiency in crafting high-performance BigQuery queries, optimizing for efficiency and scalability to handle large datasets effectively 
• Excellent verbal and written communication, analytical, and problem-solving skills 

Nice to Have

• Experience with real time messaging systems, such as Kafka, Kinesis, or Pulsar 
• Experience with stream processing frameworks, such as Flink or Spark 
• Experience with real time visualization tools like Plotly Dash and Jupyter notebooks 
• Experience with data governance, data quality frameworks, and monitoring tools 
• Experience in financial markets or trading systems 
• Familiarity with ML models 
• Familiarity with modern data architecture patterns, such as microservices and serverless computing 
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes 
• Certifications in cloud technologies or big data platforms 

During onboarding, Senior Data Engineers at Belvedere will participate in a rotational program to expose and train on Belvedere systems. After successfully completing the rotational program, this individual will join the Combine Research Team helping to develop fully automated, black box trading strategies. 

Core Values

The secret to our award-winning culture is our Core Values: Team Belvedere, Me in Team, Own It, Iterative Innovation, and Passionate Discourse. We embody these values every day.

Compliance

For our trading positions and certain engineering roles, the SIE and Series 57 licenses are required; Belvedere Trading will provide comprehensive study materials and allocate dedicated time during the onboarding process to ensure your success in obtaining these certifications.

Our Stance

Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds.

Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please.

Through our efforts to provide a safe environment for you and our team members, all interviews for this position will be conducted virtually via phone or video. Through the remainder of the year, we will continue to actively hire and onboard new team members virtually unless otherwise noted. Any questions regarding the virtual recruiting process, please reach out to [email protected].