Neuron - Miami, FL

posted 9 days ago

Full-time - Mid Level
Remote - Miami, FL
Professional, Scientific, and Technical Services

About the position

The Customer Analytics Data Engineer at Neuron plays a crucial role in building and optimizing data pipelines to ensure data accuracy and integrity. This position is designed for a detail-oriented data engineer who thrives in a collaborative environment and is passionate about delivering high-quality data solutions that drive customer insights and business decisions.

Responsibilities

  • Build, monitor, and optimize complex data pipelines for analytics and customer sharing.
  • Collaborate with customers and internal teams to understand their data needs.
  • Take ownership of data quality and resolve data issues to ensure integrity.
  • Document and refine data workflows to enhance processes and quality standards.
  • Design and maintain data pipelines compatible with analytics and BI reporting.
  • Write, optimize, and maintain complex SQL queries for data extraction and transformation.
  • Actively monitor data flows and troubleshoot issues to ensure high-quality data.
  • Document, refine, and innovate data workflows for consistency and efficiency.
  • Work with data scientists, analysts, and engineers to support data requirements and integration.
  • Communicate data insights and backend logic to both technical and non-technical audiences.

Requirements

  • BS degree in Computer Science, Data Science, or relevant technical field or equivalent.
  • 3-5 years of experience in analytics engineering or data engineering.
  • Strong proficiency in SQL and experience in data transformation and optimization.
  • Expertise in Python for building pipeline automation, logging, and debugging.
  • Strong database knowledge including data modeling, schema design, and performance tuning.
  • Experience with data pipeline and ETL tools (e.g., Airflow, Prefect).
  • Experience with cloud data solutions (e.g., AWS, Azure, Google Cloud).
  • Familiarity with business intelligence tools (e.g., PowerBI, Tableau, Streamlit/Plotly).
  • Familiarity with data science and machine learning principles.

Benefits

  • Competitive Salary
  • Generous paid time off policy
  • 12 paid U.S. holidays per year
  • Performance-based bonus
  • Private healthcare, optical, dental
  • Life Insurance
  • 401k plan
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