Job Description

Accorded is seeking an experienced data engineer to join our team. The ideal candidate will have a strong background in data engineering, proficiency in sql, python and modern data engineering tools, and an eagerness to learn our business domain.

• Build and maintain data transformation pipelines with robust testing to ensure data integrity
• Design, implement, and maintain models with complex domain and business logic for Accorded’s Acumen product.
• Collaborate with cross-functional teams (such as our Actuarial Team) to understand data requirements and deliver high-quality solutions
• Optimize data storage and retrieval processes for improved performance and scalability
• Participate in code reviews and maintain high standards of code quality

• 5+ years of engineering experience with data products
• Strong proficiency in SQL and Python
• Extensive experience in managing data transformation pipelines
• Solid understanding of data modeling, data warehousing, and ETL processes
• Experience with version control systems (e.g., Git)
• Strong problem-solving skills and attention to detail
• Excellent communication skills and ability to work in a collaborative environment

• Experience with dbt (data build tool) is highly preferred
• Experience with tools like BigQuery and Snowflake
• Knowledge of healthcare data and related regulatory requirements (e.g., HIPAA)

• While healthcare experience is not strictly required, a willingness and enthusiasm to learn about the healthcare domain is essential
• You will work closely with subject matter experts to understand domain-specific requirements and challenges
• Accorded is located in the San Francisco Bay Area. Remote candidates living and authorized to work in the continental United States are eligible to apply.

We are looking for a candidate who is passionate about data engineering, committed to producing high-quality work, and eager to contribute to improving healthcare through data-driven solutions.

Accorded is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment and do not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

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