Data Engineer

Employment Type: Contract (Initial 3 Months)

Contract Duration: 3 Months, with strong potential to convert to Full-Time

Location: Remote in CA

Industry: Financial / Consumer / Data & Analytics

We are seeking an experienced Data Engineer with a strong finance background to support the design, development, and optimization of modern data pipelines and analytics infrastructure. This role will begin as a 3-month consulting engagement and may convert to a full-time position based on performance and business needs.

The ideal candidate is hands-on, detail-oriented, and comfortable working in a fast-paced, data-driven environment, supporting financial reporting, analytics, and operational use cases.

• Design, build, and maintain scalable ETL/ELT pipelines using modern data tools
• Develop and manage data transformations using DBT
• Orchestrate and automate workflows using Apache Airflow
• Build and optimize data models in Snowflake for analytics and reporting
• Write clean, efficient, and well-tested Python code for data processing and automation
• Partner closely with finance, analytics, and business stakeholders to translate requirements into data solutions
• Ensure data accuracy, reliability, and performance through monitoring and validation
• Document data models, pipelines, and technical designs
• Participate in agile development, code reviews, and best-practice sharing

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• 3+ years of experience in data engineering or a related role
• Strong proficiency in Python and SQL
• Hands-on experience with Snowflake data warehousing
• Practical experience using DBT for data modeling and transformations
• Experience scheduling and managing workflows with Airflow (or similar orchestration tools)
• Solid understanding of data warehousing concepts and best practices
• Strong communication skills and ability to work cross-functionally

• Experience working with financial data, accounting systems, or finance teams
• Familiarity with ERP systems such as Net Suite
• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of data quality, testing, and observability frameworks
• Experience in high-growth or fast-paced environments

• Medical insurance
• Vision insurance
• 401(k)

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