Data Engineer Contractor

Data Engineer Contractor Location: Cupertino, CA Key Skills • Strong experience building robust and scalable data processes and pipelines for modeling, analysis, and reporting • Experience with Enterprise Data Warehousing systems including Snowflake and Teradata (or equivalent) • Fluency in SQL and Python, including data wrangling and schema design • Experience working with pipeline tools like Airflow and dbt • Experience with BI processes and some experience with dashboard tools like Tableau • Some experience with CI/CD and containerization tools (e.g. Jenkins, Docker, Kubernetes) • Ability to initiate, refine, and complete projects with minimal guidance and some experience working in a scrum or release cycle environment • Ability to clearly communicate technical concepts, definitions, logic, and processes to a non- technical audience • Ability to think critically and collaborate cross-functionally with other data engineering, data science and analytics stakeholders distilling business requirements into clear data products • Experience designing data ingestion processes and working with unstructured data a plus Project Descriptions • Design, create, refine, and maintain data processes and pipelines used for modeling, analysis, and reporting • Operationalize data products with detailed documentation, automated data quality checks and change alerts • Support data access through various sharing platforms, including dashboard tools • Troubleshoot failures in data processes, pipelines, and products • Communicate and educate consumers on data access and usage, managing transparency in metric and logic definitions • Collaborate with other data scientists, analysts, and engineers to build full-service data solutions • Develop and communicate architectures, code patterns and data structure design choices to team of data scientists, analysts and engineers laying out tradeoffs • Support codebase compatibility with Snowflake by designing, creating, and driving adoption of templates, packages, and best practices • Optimize query and database performance through designing, creating, refining, and maintaining performance management system • Work with cross-functional business partners and vendors to acquire and transform raw data sources • Design, create, refine, and maintain data ingestion process• Provide weekly updates to the team on progress and status of planned work Client is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.