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Remote Derivative Analyst Jobs in Oregon (NOW HIRING)

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Background in fintech, trading, or derivatives Compensation: The salary range for this role will be ...

Excellent troubleshooting skills with the ability to analyze logs, trace API calls, and isolate ... Passion for futures, derivatives, and trading technologies Compensation: The salary range for this ...

Remote Derivative Analyst information

What is the difference between Remote Derivative Analyst vs Remote Equity Analyst?

AspectRemote Derivative AnalystRemote Equity Analyst
Required CredentialsFinance degree, CFA preferred, derivative certificationsFinance/Economics degree, CFA often preferred
Work EnvironmentFinancial institutions, trading firms, hedge fundsInvestment firms, asset management companies
Industry UsageDerivatives trading, risk managementStock analysis, portfolio management
Common Search/ComparisonYesYes

The Remote Derivative Analyst primarily focuses on analyzing derivatives like options and futures, often working in risk management or trading environments. In contrast, a Remote Equity Analyst evaluates stocks and equity markets to inform investment decisions. While both roles require finance knowledge and certifications like CFA, their focus areas and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Derivative Analyst, and why are they important?

To thrive as a Remote Derivative Analyst, you need strong quantitative analysis skills, a solid understanding of financial markets and derivatives, and typically a degree in finance, mathematics, or a related field. Proficiency with financial modeling tools, programming languages like Python or R, and systems such as Bloomberg Terminal is commonly required. Analytical thinking, attention to detail, and effective remote communication are vital soft skills for excelling in this position. These skills and qualities are crucial for accurately assessing risk, making informed decisions, and collaborating efficiently in a remote, fast-paced financial environment.

What is a Remote Derivative Analyst?

A Remote Derivative Analyst is a finance professional who specializes in analyzing, pricing, and managing derivative financial instruments such as options, futures, and swaps while working from a remote location. Their main responsibilities include evaluating market risks, monitoring derivative portfolios, and providing insights to support investment or risk management decisions. By leveraging technology, they collaborate with teams and clients virtually, using advanced analytical tools and financial models to assess market trends and ensure regulatory compliance. This role typically requires strong quantitative skills, knowledge of financial markets, and experience with derivatives trading or analysis.

What are some common challenges faced by Remote Derivative Analysts, and how can they be effectively managed?

Remote Derivative Analysts often encounter challenges such as coordinating across different time zones, maintaining clear communication with trading teams, and staying updated on rapid market changes. To manage these challenges, it is important to leverage collaboration tools, establish regular check-ins, and set clear expectations with colleagues. Additionally, staying organized and proactive in monitoring market data helps ensure timely analysis and supports effective decision-making, even while working remotely.
What are popular job titles related to Remote Derivative Analyst jobs in Oregon? For Remote Derivative Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Derivative Analyst jobs in Oregon look for? The top searched job categories for Remote Derivative Analyst jobs in Oregon are:
What cities in Oregon are hiring for Remote Derivative Analyst jobs? Cities in Oregon with the most Remote Derivative Analyst job openings:
Infographic showing various Remote Derivative Analyst job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 5% Part Time, and 13% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

Sr. Data Engineer

NinjaTrader

OR • On-site, Remote

$100K - $150K/yr

Other

Retirement, PTO

Re-posted 5 days ago


Job description

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 $100,000.00 - $150,000.00 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, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, 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