Data Engineer

Job Summary We’re looking for a Data Engineer to support our team in Bay area, CA. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we’d love to hear from you. Key Responsibilities Work closely with Finance teams to gather and clarify reporting and analytics requirements. Translate finance business needs into clear technical specifications for data engineers. Support daily and monthly financial reporting used by leadership and finance operations. Data Ingestion (Pulling Raw Data) → Extract data from external sources — APIs, flat files, ERP systems, databases → Tools: AWS Glue, Azure Data Factory, Python Data Lake (Landing Raw Data) → Dump raw/unstructured data into a storage layer → Tools: AWS S3, Azure Data Lake Data Warehouse (Structuring & Organizing) → Clean, transform, model the data into usable tables → Tools: Snowflake, AWS Redshift, Databricks Reporting (Generating Reports) → Connect structured data and build dashboards → Tools: Tableau, Power BI, Cognos About CLPS CLPS Incorporation (NASDAQ: CLPS) is a global technology and consulting firm specializing in end-to-end digital transformation solutions. Since our founding in 2005, we’ve expanded our footprint across 10 countries, with regional hubs in China, Singapore, and the United States, and our headquarters in Hong Kong. Leveraging advanced technologies such as AI, cloud computing, and big data, we deliver innovative services across key sectors including fintech, payments, e-commerce, education, and travel tech. Our mission is to empower businesses to become intelligent, data-driven enterprises. Join CLPS and be part of an innovative, fast-growing team shaping the future of technology across industries.