This is a fully remote position, open to applicants in California.

• Design, develop, and maintain data pipelines for the efficient processing and transformation of large data volumes.

• Normalize and aggregate data across various cloud platforms, including AWS, Azure, and Google BigQuery.

• Utilize APIs for data access and integration with both internal and external systems.

• Collaborate with web and transactional data to support analytics and business intelligence initiatives.

• Ensure data quality, integrity, and security throughout all phases of the data lifecycle.

• Work alongside cross-functional teams to comprehend data requirements and provide scalable solutions.

• Enhance data workflows for optimal performance and cost-effectiveness in cloud settings.

• Bachelor's degree in Computer Science, Engineering, or a related field.

• At least 8+ years of experience in a large-scale organizational environment.

• Demonstrated expertise with AWS, Azure, and BigQuery for data storage and processing.

• Strong skills in SQL, Python, and data transformation tools are essential.

• Practical experience in creating ETL pipelines, data orchestration frameworks, and RESTful APIs.

• Proven ability to manage large-scale datasets and optimize data workflows.

• Familiarity with data specific to the e-commerce industry, including web analytics and transactional data.

• Knowledge of data modeling, normalization, and aggregation methods.

• Experience with distributed systems and big data technologies (e.g., Spark, Redshift, Hadoop).

• Comprehensive understanding of data governance, security, and compliance in cloud environments.

• Experience with real-time data processing and streaming platforms (e.g., Kafka).

• Competitive wages

• Healthcare (medical, dental, vision, prescription drugs, FSAs)

• 401(k) plan

• Paid time off (PTO) and holidays

• Paid parental leave

• Life and disability insurance

• Employee Assistance Program (EAP)

• Professional development and tuition assistance

Data Engineer

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