RRemoteville
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Sr. Data Engineer

Skills
Computer ScienceAnalytical SkillsArtificial IntelligenceDashboardsData EngineeringData ScienceEngineering
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Proficiency in SQL and Python
  • Strong familiarity with modern data engineering frameworks infrastructure and tooling
  • Experience with data ops best practices monitoring pipeline automation and CI/CD
  • Knowledge of Spark TensorFlow PyTorch or scikit-learn
  • Ability to build production APIs and services including MCP servers
  • Bachelor’s degree or equivalent in a related field
  • 5+ years of experience in data engineering platform engineering or ML engineering
  • Experience with major cloud data platforms and tools such as AWS GCP dbt Airflow Airbyte Redshift or BigQuery

Nice to have

  • Collaborative mindset
  • Dependable execution
  • Humility
  • Curiosity
  • Openness to experimentation

Day to day

  • Design and maintain scalable data systems for ingestion transformation and storage with strong testing and observability practices.
  • Build automation and tooling that safely increases development velocity and supports reliable analytics and ML workflows.
  • Partner with data scientists analysts and product managers to develop end-to-end AI and ML pipelines and production integrations.

Hiring process

  • Complete the application
  • Answer optional EEOC questions