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tastytrade

Educational platform for options and futures

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeChicago, IL, USA

About the Job

Requirements

  • 2–5 years of professional data engineering experience.
  • Expert SQL skills, including query optimization.
  • Production experience with dbt.
  • Ability to write production-quality Python code.
  • Hands-on experience with Airflow, Prefect, or Dagster.
  • Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
  • Understanding of the data product lifecycle, standards, and practices.
  • Knowledge of data quality functions including cleansing, standardization, parsing, and validation.
  • Ability to design systems and lead projects.
  • Proficiency with version control tools such as Git or GitHub and command-line interfaces.

Responsibilities

  • Design and build scalable data pipelines using dbt, Python, Airflow, and Snowflake to support business processes, including executive reporting dashboards.
  • Own pipeline architecture and performance, and drive strategic initiatives to improve the data platform.
  • Make architectural decisions, including schema design, tool selection, and trade-offs.
  • Own data quality and observability, and build infrastructure that maintains data quality.
  • Write ELT code using modern data engineering practices, including Git, automated testing, and deployments.
  • Debug production data issues.
  • Process, clean, and validate data from external sources and internal data pipelines.
  • Lead ad hoc analysis using internal and external data sources to help teams understand customer interactions with products.
  • Collaborate with upstream data producers in Software Engineering and DevOps and downstream data consumers in Marketing, Product, and Leadership.
  • Contribute to data visualization and reporting efforts in Tableau.
  • Upskill colleagues through code review, design collaboration, and knowledge sharing.
  • Optimize performance, improve processes, and improve team practices.

Desired Qualifications

  • Experience with Kubernetes or infrastructure as code.
  • Experience with CI/CD and DevOps practices.
  • Experience with data quality frameworks such as Elementary, Great Expectations, or Monte Carlo.
  • Background in financial services.
  • Experience with advanced Airflow patterns and custom operators.
  • Experience with agile development practices and the project lifecycle.

About the Company

tastytrade

Educational platform for options and futures

Tastytrade provides a financial education and trading platform centered on options and futures, offering live daily content, courses, and strategic trade ideas. Users learn through free beginner courses and more advanced programs, then apply what they learn by executing trades via linked platforms like tastyworks and The Small Exchange. It differentiates itself by combining education, live market analysis, and trading execution in a single ecosystem with multiple revenue streams from subscriptions and advertising. The goal is to help traders improve their outcomes in options and futures by giving them knowledge, strategies, and accessible tools.

Company size
201-500
Company stage
Acquired
Total funding
$47M
Headquarters
Chicago, IL
Founded
2011

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