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Data Engineer - Remote

Posted 2 days ago
Data Analysis
Full Time
USA

Overview

The Data Engineer is responsible for building scalable, performant data pipelines that power critical operational and analytical applications, working closely with data science teams to run ML/AI models on enterprise-scale data.

In Short

  • Build full data pipelines from ingestion to analysis.
  • Design and manage large-scale data warehouses and lakehouses.
  • Optimize data transformation pipelines using tools like dbt.
  • Champion data governance principles and quality standards.
  • Create efficient SQL and Python-based data processing jobs.
  • Balance computational load, performance, and cost.

Requirements

  • Advanced Degree in Statistics, Data Science, or related fields.
  • 5+ years of data engineering experience in cloud environments.
  • Expertise in SQL, Python, and schema design.
  • Experience with data transformation and ETL best practices.
  • Familiarity with data orchestration tools like Airflow.
  • Strong problem-solving and critical thinking skills.

Benefits

  • Opportunity to work on complex AI solutions.
  • Support for professional development and training.
  • Collaborative work environment with cross-functional teams.
Data Society logo

Data Society

Data Society Group is a leading provider of data and AI training solutions tailored for Fortune 1,000 companies and government organizations at all levels. The company focuses on empowering workforces through education and skill development in data literacy, AI, and machine learning. Data Society Group also publishes CDO Magazine, a prominent publication for Data Officers, and boasts an executive board comprised of industry leaders and data experts. With a commitment to fostering a data-driven culture, Data Society Group is dedicated to enhancing the capabilities of data professionals and ensuring the integrity and security of organizational data.

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