Senior Data Engineer

W2 candidates only (No C2C/No sponsorship) Candidates from West coast area who are ready to travel to San Francisco are welcome to apply. Job title: Data Engineer Location: San Francisco, CA (Hybrid) Duration: 2 months (High possibility of extension) Responsibilities: • Design, build, and maintain robust, scalable data pipelines and architectures tailored for complex financial data environments • Develop and implement optimized data models and architectures to support analytics, reporting, and business insights • Architect and build a modern, enterprise-grade financial data warehouse using Snowflake • Leverage DBT (Data Build Tool) to transform raw data into trusted, reusable assets • Partner closely with cross-functional teams to gather requirements and ensure data solutions align with business goals • Implement best practices in data engineering for performance, reliability, and data quality • Work within the Advertising Tech / Media industry landscape to support data-driven decisions and monetization strategies • Continuously monitor, troubleshoot, and improve data workflows to ensure seamless and secure data operations Qualifications: • Bachelor’s degree in computer science, Information Systems, or a related field • Proven experience as a Data Engineer or in a similar role • Strong programming skills in languages such as Python, Java, or Scala • Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend • Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or Oracle) • Familiarity with cloud platforms and services (e.g., AWS, Azure, or GCP) • Knowledge of data modeling and database design principles • Strong analytical and problem-solving skills • Effective communication and collaboration skills