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