Data Infrastructure Engineer - Remote

Overview

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Infrastructure Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

Worth is looking for a Data Infrastructure Engineer to build and maintain the foundational systems that power our data platform. In this role, you will design, implement, and optimize scalable, reliable, and secure data infrastructure that supports analytics, data science, and product applications across the company.

The ideal candidate is deeply experienced with modern data architectures, cloud platforms, and data orchestration tools. You are passionate about automation, performance tuning, and ensuring high availability of data services. This is a critical role on our data team and offers the opportunity to shape the long-term data strategy of the organization.

In Short

• Design, build, and maintain scalable and resilient data infrastructure in a cloud environment (AWS, Azure, or GCP).
• Develop and maintain ETL/ELT pipelines using orchestration tools such as Airflow, Dagster, or dbt.
• Optimize data workflows for reliability, performance, and cost efficiency across structured and unstructured datasets.
• Manage data lake and data warehouse environments (e.g., Snowflake, BigQuery, Redshift, Delta Lake).
• Ensure data security, privacy, and compliance, including role-based access control, data encryption, and audit logging.
• Collaborate with data scientists, analysts, and product teams to ensure data accessibility, accuracy, and availability.
• Support real-time and batch data processing frameworks, including Kafka, Spark, Flink, or similar tools.
• Monitor, troubleshoot, and improve the observability and performance of data systems using tools like Prometheus, Grafana, or Datadog.
• Maintain CI/CD pipelines for data infrastructure using Terraform, GitHub Actions, or similar tools.

Requirements

• Deep experience with modern data architectures and cloud platforms.
• Strong knowledge of data orchestration tools and ETL/ELT processes.
• Experience managing data lake and warehouse environments.
• Understanding of data security and compliance best practices.
• Ability to collaborate effectively with cross-functional teams.
• Proficiency in real-time and batch data processing frameworks.
• Familiarity with monitoring and observability tools.
• Experience with CI/CD practices in data infrastructure.

Benefits

• Opportunity to shape the long-term data strategy of the organization.
• Collaborative and innovative work environment.
• Focus on personal and professional growth.
• Competitive compensation and benefits package.