Data Engineer

CyOpsPath is a curated platform that helps job seekers find real, high-priority opportunities before they expire. The Data Engineer role involves building and maintaining data pipelines, designing data structures, and developing ETL workflows to support data-driven decisions.

Responsibilities:

• Candidates should possess strong Data Engineering skills, including building and maintaining data pipelines
• Candidates should possess Data Modeling and Data Warehousing skills to design efficient, scalable data structures and storage solutions
• Candidates should possess Extract Transform Load (ETL) skills to develop, optimize, and monitor data ingestion and transformation workflows
• Candidates should possess Data Analytics skills to interpret data, support reporting, and collaborate with stakeholders on data-driven decisions
• Experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java)
• Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data tooling (e.g., Spark, Airflow, dbt) is beneficial
• Strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote environment

Requirements:

• Candidates should possess strong Data Engineering skills, including building and maintaining data pipelines
• Candidates should possess Data Modeling and Data Warehousing skills to design efficient, scalable data structures and storage solutions
• Candidates should possess Extract Transform Load (ETL) skills to develop, optimize, and monitor data ingestion and transformation workflows
• Candidates should possess Data Analytics skills to interpret data, support reporting, and collaborate with stakeholders on data-driven decisions
• Experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java)
• Strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote environment
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
• Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data tooling (e.g., Spark, Airflow, dbt) is beneficial