Analytics Engineer

Remote | US or CAN


  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

  • Design, build, and maintain scalable and robust data pipelines to support analytics and reporting.

  • Develop and implement data models and ETL processes for data transformation, ensuring data quality and integrity.

  • Create dashboards and reports to visualize data, providing actionable insights to inform business decisions.

  • Work closely with data scientists and engineers to integrate advanced analytics models into the data pipeline.


  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

  • Strong experience with SQL and database design.

  • Proficiency in programming languages such as Python or Java.

  • Experience with data pipeline and workflow management tools (e.g., Airflow, Luigi).

  • Knowledge of data visualization tools (e.g., Tableau, Power BI).

  • Excellent problem-solving skills and attention to detail.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Computer Science Data pipelines Data quality Data visualization Engineering ETL Java Pipelines Power BI Python SQL Tableau

Region: Remote/Anywhere
Job stats:  12  4  0

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