Job Description

📍 Location: 100% Remote (U.S.-based candidates only) 📄 Employment Type: Full-time 🛂 Work Authorization: Must be authorized to work in the United States We are seeking a Senior Data Engineer to design and maintain scalable data platforms that support analytics, reporting, and AI initiatives. 🚀 Responsibilities: Design and build scalable data pipelines (ETL/ELT) Develop and optimize data models and data warehouses Integrate data from multiple sources and ensure data quality Work closely with data scientists, analysts, and business teams Optimize performance and reliability of data workflows Implement data governance and security best practices ✅ Required Qualifications: 5+ years of experience in data engineering Strong proficiency in SQL and Python Experience with big data tools such as Spark or Databricks Experience with cloud data platforms (Snowflake, BigQuery, Redshift, etc.) Knowledge of data modeling and pipeline orchestration tools ⭐ Nice to Have: Experience with Airflow, dbt, or similar tools Knowledge of streaming technologies (Kafka, Kinesis) Experience supporting ML workloads 👤 Profile: We are looking for professionals who are: Analytical and detail-oriented Performance and quality focused Collaborative and business-minded Comfortable in a remote environment

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