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Tastylive

Real-time trading insights and education platform

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

Tastylive

Real-time trading insights and education platform

Tastylive provides real-time financial streaming and education for options, stocks, and futures. It streams live broadcasts—over 100 original segments with more than 20 on-air traders—seven days a week to share market insights and actionable trade ideas. The platform blends entertainment with practical training, offering diverse viewpoints from a large team of traders. Its goal is to help traders navigate complex markets with confidence by delivering timely, actionable information and ongoing support.

Company size
51-200
Company stage
Series C
Total funding
$1B
Headquarters
Chicago, IL
Founded
2011

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