DataOps Engineer

We are seeking a DataOps Engineer with Data experience to help design, build, and operate reliable, scalable data systems, protecting data from the inside out.

Requirements

• Design, develop, and maintain batch and streaming data pipelines from multiple source systems
• Implement ETL/ELT processes to ingest, transform, and model data for analytics and downstream consumers
• Build and optimize data models, tables, and views in cloud data warehouses or lakehouses
• Enforce data quality, validation, and schema management across pipelines
• Optimize pipeline performance, scalability, and cost efficiency
• Collaborate with analytics and data science teams to support reporting, dashboards, and ML workloads
• Apply DataOps best practices including CI/CD for data pipelines, automated testing, and version control
• Monitor pipeline health, data freshness, and SLAs using observability and alerting tools
• Automate operational tasks such as deployments, backfills, schema evolution, and rollbacks
• Manage and improve production reliability of data systems, including on-call support and incident response
• Implement and maintain infrastructure and orchestration for data workflows
• Improve transparency and trust in data through metadata, lineage, and documentation
• Partner with platform teams on infrastructure as code, security, and access management

Benefits

• Flexible, hybrid work model
• Opportunities for professional growth and development
• Collaborative and supportive work environment