Our client, a leader in tax software with amazing culture, is hiring for a Data Engineer II. This is a hybrid position with 3 days onsite per week in Mountain View, California. This role will be responsible for developing and translating computer algorithms into prototype code and maintaining, organizing, and identifying trends in large data sets. Proficiency in SQL database design, proficiency in creating process documentation, strong written and verbal communication skills, and the ability to work independently and on teams. Familiarity with the computer coding languages Python, Java, Kafka, Hive, or Storm may be required in order to oversee real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties. Should have knowledge of algorithms, data structures, and performance optimism and experience with processing and interpreting data sets. Develop technical solutions to improve access to data and data usage. Understand data needs and advise company on technological resources. Aggregate and analyze various data sets to provide actionable insight. Develop reports, dashboards, and tools for business-users. Contract Duration: 12 Months What You'll Be Doing: • Design, build, and maintain scalable data pipelines using Databricks and Spark, ensuring optimal data extraction, transformation, and loading from diverse data sources. • Employ robust data modeling techniques to develop and optimize databases and large-scale processing systems. • Use GitHub for version control, ensuring efficient collaboration and codebase management within our development teams. • Ensure high-quality data reliability and streamline data flow to support advanced querying and analytics. • Collaborate with data scientists and architects to enhance system performance and data integrity. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Troubleshoot and debug issues in data models, guaranteeing high performance and accessibility of our data systems. Required Experience/Skills: • Minimum of 3-4 years of experience as a Data Engineer. • Proficiency in Databricks, Spark, SQL, and Python—must have solid experience in scripting and data manipulation. • Experienced in building and maintaining data pipeline architectures. • Strong familiarity with GitHub for version control and collaborative development. • Excellent problem-solving, analytical, and communication skills. • Ability to work effectively in a team environment. Preferred Qualifications: • Experience with cloud services like AWS, Azure, or Google Cloud Platform.