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Data Engineer

Job summary

United States
Engineering

Work model

Fully remote
Only US
1 month ago
Job description

Key Responsibilities

  • 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

Required Qualifications

  • 2+ years of data engineering experience
  • 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

Preferred Qualifications

  • 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)

Additional Information

  • 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.