Sr. Data Engineer

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.

The team

NinjaTrader is a futures-focused brokerage offering low commissions, award-winning trading platforms, and a suite of customizable tools for active traders. The platform delivers integrated multi-device trading across desktop, web, and mobile, with access to thousands of third-party trading apps and add-ons.

 

The opportunity

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 Senior 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 reliable data products

• Work on feature pipelines and model-ready data to support ML engineers

• Promote high standards in code quality, testing, and platform reliability

• Participate in Agile ceremonies and foster a collaborative, growth-oriented team culture

What you bring

• Bachelor’s degree in Computer Science, Engineering, or a related field

• 5+ years of experience in data engineering, platform engineering, or backend development

• Strong skills in SQL and Python for building and testing data solutions

• Hands-on experience with GCP and GCP data products (BigQuery, CloudSQL, Cloud Storage, etc.)

• Experience with AWS cloud services (S3, Glue, Athena, Kinesis) in addition to GCP; bonus for EMR

• Experience with CI/CD pipelines, infrastructure-as-code, and version-controlled deployment workflows (e.g., Terraform, GitOps)

• Hands-on dbt experience building and maintaining dbt projects (models, tests, macros, documentation, CI)

• Proficiency with workflow orchestration tools (e.g., Airflow, Prefect)

• Knowledge of data lake architecture, including file formats (Parquet, Avro) and open table formats (Apache Iceberg)

• Familiarity with event-driven and service-oriented architecture

• A track record of building automated, well-tested, and observable data systems

• Comfortable working both independently and collaboratively in a fast-paced Agile environment

Nice to haves

• Hands-on Kubernetes experience, especially around data workloads and containerized pipelines

• Experience with streaming technologies (e.g., Kafka, Spark Streaming, Flink) and comfort working with high-volume, low-latency data flows

• Experience with change data capture tools (e.g., Debezium, Kafka Connect) and real-time data integration patterns

• Experience with BI tools like Looker Studio or QuickSight

• Experience with observability and monitoring tooling (e.g., Datadog, Grafana, Prometheus)

• Background in fintech, trading, or derivatives

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.