Senior Data Engineer (Remote)

Job Title: Data Engineer (Remote)

Overview

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate has strong experience with modern data technologies, cloud platforms, and a deep understanding of data modeling and ETL/ELT best practices. This is a fully remote role.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming large datasets.
• Build and optimize data warehouses, data lakes, and distributed data systems.
• Collaborate with data analysts, data scientists, and engineering teams to deliver trusted data solutions.
• Develop and manage data models, metadata, and documentation.
• Implement data quality, validation, and monitoring frameworks.
• Ensure security, governance, and compliance best practices are applied.
• Optimize data performance, reliability, and scalability.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 3-10+ years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL and experience with relational and NoSQL databases.
• Hands-on experience with Python or Scala for data workflows.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with modern data stack tools (e.g., Airflow, dbt, Snowflake, BigQuery, Redshift, Databricks).
• Experience with distributed data processing frameworks (e.g., Spark, Kafka).
• Strong understanding of data modeling and warehouse/lakehouse architecture