DataOps Engineer

We are seeking a skilled and detail-oriented DataOps Engineer to design, build, and maintain automated data pipelines and cloud-based data platforms that support enterprise-scale web, mobile, and AI-driven applications.

Requirements

• Develop, deploy, and maintain data ingestion, transformation, and delivery pipelines using Azure Data Factory, Databricks, or equivalent frameworks.
• Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions
• Automate data quality checks, schema validation, and error handling mechanisms
• Integrate structured, semi-structured, and unstructured data sources (APIs, databases, IoT, etc.)
• Collaborate with Data Engineers, DevOps, and Developers to enable seamless data flow between systems
• Manage and optimize Azure cloud data services (Data Lake, Synapse, SQL, Blob Storage, Key Vault)
• Implement infrastructure as code (IaC) using ARM templates, Terraform, or Bicep for provisioning data resources
• Enforce data governance and access controls aligned with organizational policies
• Implement automated data quality and validation frameworks
• Build dashboards for tracking data pipeline health, latency, and throughput
• Work closely with Data Engineers, Business Analysts, and Product Teams to align data operations with business goals
• Support the data integration needs of downstream systems like BI dashboards (Power BI, Tableau) or AI applications

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance