Full-Time Data Infrastructure Engineer

Worth AI, a leader in the computer software industry, is seeking a talented and experienced Data Infrastructure Engineer to join their innovative team.

Responsibilities

• 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 like 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.
• Collaborate with data scientists, analysts, and product teams.
• Support real-time and batch data processing frameworks.
• Monitor, troubleshoot, and improve data systems' observability and performance.
• Maintain CI/CD pipelines for data infrastructure using Terraform, GitHub Actions, or similar tools.

Requirements

• 5+ years of experience in data engineering, infrastructure engineering, or a related field.
• Strong programming skills in Python, Node.js.
• Proficient in SQL and experience with distributed query engines.
• Experience with cloud-native data platforms.
• Hands-on experience with infrastructure-as-code tools.
• Familiarity with containerization and orchestration tools.
• Solid understanding of data governance, quality frameworks, and data lifecycle management.
• Ability to work in a fast-paced, collaborative environment.
• Experience in streaming data architecture and tools.
• Background in supporting machine learning or analytics platforms.
• Exposure to data mesh, data contracts, or modern data stack concepts.
• Knowledge of DevOps principles applied to data systems.

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