Hybrid Data Analytics Engineer

Posted 4 days ago

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About the role

  • Data Analytics Engineer responsible for decision models and data pipelines at Midas. Collaborating with teams to ensure accurate data for enhancing user investment experiences.

Responsibilities

  • Own the decision models and data pipelines that power all Midas products.
  • Collaborate with data scientists, analysts, and product teams to design, develop, and manage data pipelines for Machine Learning, Business Intelligence, and Data Analytics needs.
  • Create efficient data models and optimize performance.
  • Document data processes to ensure clarity and maintainability across cross-functional teams.

Requirements

  • Builds robust, tested data pipelines using SQL, Python, and orchestration tools like Airflow (but remains tool-agnostic and adaptable)
  • Designs data models that support causal inference, experimentation, and self-service data onboarding for all parties
  • Writes clean, version-controlled code and integrates data quality checks into every pipeline
  • Thinks in systems — designs for monitoring, debugging, and long-term maintainability from day one
  • 5+ years of experience in data engineering, analytics, or a related field.

Benefits

  • Health insurance
  • Professional development opportunities
  • Flexible working hours

Job title

Data Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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