Job Description

Start/End Dates: 9/28/2026 - 4/16/2027

Tax Work Location: US - CA - Remote

Job Title: Data Analytics & Engineering - Data Engineer IV

• Strong experience with SQL and Python for large-scale data engineering.
• Experience building and validating product logging and data quality frameworks.
• Experience building dashboards and analytics reporting solutions.

Familiarity with AI-native analytics and dev tools

Client is seeking a skilled Data Engineer for a temporary assignment. In this role, you will support our data infrastructure and analytics initiatives, working with cross-functional teams to deliver high-quality data solutions.

• Design, build, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and engineering teams to deliver reliable data solutions.
• Ensure data quality, integrity, and security across all data systems; implement automated monitoring and anomaly detection.
• Develop dashboards and reporting solutions that support product goal tracking and decision-making.
• Leverage and develop AI-native tools and workflows to accelerate data engineering velocity.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data workflows, processes, and best practices, contributing to a culture of knowledge sharing and operational excellence.

• Bachelor's degree in computer science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Proven experience in data engineering, including building and maintaining ETL pipelines.
• Proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala).
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, Big Query) and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

For applications and inquiries, contact:hirings@openkyber.com

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