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Sr. Data Engineer

Chicago or Remote*

Pay
USD 110,000–160,000/yearAnnual period assumed — pay source
Compensation: The salary range for this role will be $110,000.00 - $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.
Read the full posting
Work setup
Remote stated — work setup source
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.
Listed location: Chicago or Remote*
Read the full posting
Employment
Unconfirmed
Apply at NinjaTrader

What you’ll work on

Full posting
  • 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

  • Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products

  • Improve observability, alerting, and SLOs across data systems so pipelines are easier to monitor and issues are caught early

From the employer’s posting
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
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
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

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.)
  • Experience with streaming technologies (e.g., Kafka, Spark Streaming, Flink) and comfort working with high-volume, low-latency data flows
  • 5+ years of experience in data engineering, platform engineering, or backend development
  • Experience with AWS cloud services (S3, Glue, Athena, Kinesis) in addition to GCP; bonus for EMR
  • Experience with change data capture tools (e.g., Debezium, Kafka Connect) and real-time data integration patterns
Qualification wording
Bachelor's degree in Computer Science, Engineering, or a related field
Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.)
Experience with streaming technologies (e.g., Kafka, Spark Streaming, Flink) and comfort working with high-volume, low-latency data flows
5+ years of experience in data engineering, platform engineering, or backend development
Experience with AWS cloud services (S3, Glue, Athena, Kinesis) in addition to GCP; bonus for EMR
Experience with change data capture tools (e.g., Debezium, Kafka Connect) and real-time data integration patterns

Tools in this posting

  • Python
  • SQL
  • AWS
  • BigQuery
  • Datadog
  • dbt
  • Google Cloud (GCP)
  • Grafana
  • Kafka
  • Kubernetes
  • Looker
  • S3
  • Spark
  • Terraform
  • Airflow
  • Iceberg
  • Prefect
Source — Tool mentions in context
- 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, Cloud SQL, Cloud Storage, etc.)
- Strong skills in SQL and Python for building and testing data solutions - Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.) - Experience with AWS cloud services (S3, Glue, Athena, Kinesis) in addition to GCP; bonus for EMR
- Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, 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)
- 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
- 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
- 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)
- 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 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
Bonus points for: - 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)
- 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)
- 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)
- 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

Job description

View original posting ↗

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 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'll need:

  • 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, Cloud SQL, 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

Bonus points for:

  • 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

Compensation:

The salary range for this role will be $110,000.00 - $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.* 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


*There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois (outside the Chicago area), Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

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Source excerpts

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Pay
Compensation: The salary range for this role will be $110,000.00 - $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 & working pattern

Chicago or Remote*

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.
More source context
Location: This role is based in Chicago, IL.* 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 *There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois (outside the Chicago area), Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin. Our Core Benefits Include:
Work authorization
- 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.
Status in our records
Active
First seen by us
Jun 26, 2026
Recorded sightings
28
Last seen by us
Oct 7, 2026

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