Data Engineer

CyOpsPath is a job directory focused on high-priority, time-sensitive roles, helping job seekers find real, active opportunities before they expire. By curating listings from leading job sources, CyOpsPath reduces noise and allows professionals to quickly discover roles across high-demand fields such as cybersecurity, AI/ML, cloud and DevOps, software engineering, healthcare, data and analytics, finance, and commercial functions. The platform is designed to help candidates spend less time searching and more time applying to meaningful opportunities.

Qualifications

• Strong data engineering skills, including experience with Data Engineering workflows and scalable data pipeline development.
• Proficiency in Data Modeling and designing schemas that support analytics and reporting.
• Hands-on experience with Extract Transform Load (ETL) processes and tools, including building and maintaining automated data ingestion pipelines.
• Knowledge of Data Warehousing concepts and practices, including dimensional modeling and cloud-based data warehouse platforms.
• Ability to perform Data Analytics to validate datasets, support business questions, and contribute to data-driven decision making.
• Experience with SQL and at least one programming language commonly used in data engineering (such as Python or Scala).
• Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data stack tools.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
• Strong problem-solving skills, attention to detail, and ability to work effectively in a remote, collaborative environment.