DataArt is seeking a skilled DataOps Engineer to drive advanced analytics initiatives by optimizing data pipelines and infrastructure for seamless data flow and analytics deployment in a remote contract role.

As a DataOps Engineer focused on Advanced Analytics at DataArt, you will play a pivotal role in building and maintaining robust data operations that support our clients' most innovative analytics projects. Your responsibilities will include designing scalable data pipelines, automating deployments for machine learning models, and ensuring high availability and performance of data infrastructure in cloud environments.

You will collaborate closely with data scientists, analysts, and software engineers to translate complex analytics requirements into efficient operational workflows. This involves implementing best practices in data governance, security, and compliance to handle sensitive datasets effectively.

Key day-to-day tasks include monitoring system performance, troubleshooting bottlenecks in data flows, and integrating advanced analytics capabilities using tools like Apache Kafka for real-time processing and Databricks for collaborative analytics. You will also contribute to the continuous improvement of our DataOps toolkit, fostering a culture of automation and efficiency.

DataArt values innovation and agility, providing you with the opportunity to work on diverse projects across industries, from finance to healthcare, all while enjoying the benefits of a remote contract position that offers global reach and professional fulfillment.

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in DataOps, DevOps, or data engineering roles
• Proficiency in cloud platforms such as AWS, Azure, or GCP, with hands-on experience in data services like S3, Redshift, or BigQuery
• Strong knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and orchestration tools (Airflow, Kubeflow)
• Expertise in SQL, Python, or Scala for data processing and analytics
• Experience with advanced analytics tools such as Spark, TensorFlow, or similar frameworks
• Familiarity with monitoring and logging tools (Prometheus, ELK stack)
• Excellent problem-solving skills and ability to collaborate in agile teams
• Strong communication skills for cross-functional collaboration

• Competitive monthly salary with performance-based incentives
• Fully remote work flexibility from anywhere
• Comprehensive health and wellness benefits package
• Professional development opportunities including certifications and training
• Access to cutting-edge tools and technologies
• Collaborative and inclusive company culture
• Paid time off and flexible working hours
• Mentorship programs for career growth