DataOps Engineer

What you'll do

• Design and build scalable ETL/ELT data pipelines using AWS cloud services and orchestration tools.
• Implement automated data validation and quality checks to ensure data reliability across workflows.
• Develop and maintain secure, highly available data services using SQL, NoSQL, and event streaming platforms.
• Manage CI/CD automation and version control to streamline data deployment and infrastructure.
• Assess existing data systems to design integration points and improve ingestion patterns.
• Provide recommendations for tools and solutions based on industry standards and DataOps methodologies.
• Support DataOps capabilities including observability, lineage, metadata management, and pipeline monitoring.

What we're looking for

• 3+ years of experience in data engineering or DataOps, including building scalable data pipelines and data processing solutions.
• Experience designing, implementing, and maintaining ETL or ELT pipelines in cloud or hybrid environments.
• Experience with MSSQL and a scripting or programming language such as Python, Bash, or Java.
• Experience with modern data storage technologies, including relational databases, data lakes, or NoSQL.
• Experience implementing data validation, data quality checks, and automation for data workflows.
• Knowledge of version control, CI/CD practices, and automated deployment pipelines.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
• Bachelor’s degree in CS, Engineering, Information Systems, or a related field.