Start/End Dates: 9/28/2026 - 4/16/2027
Tax Work Location: US - CA - Remote
Job Title: Data Analytics & Engineering - Data Engineer IV
Must-Have Skills:
- 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.
Nice-to-have Skills:
Familiarity with AI-native analytics and dev tools
About the Role:
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.
Responsibilities:
- 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.
Minimum Requirements:
- 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:[email protected]
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