QA Data Engineer

Summary

Join Wider Circle's fully remote Data Science, Engineering and Analytics team as a Data Engineer. You will play a crucial role in ensuring data quality and accuracy, working with internal and external stakeholders to gather, validate, clean, and move data. Responsibilities include developing and maintaining data quality dashboards, enhancing data quality frameworks, and partnering with engineering and product teams. You will also conceptualize data architecture, perform data testing, and manage internal SLAs. This role requires a degree in Computer Science or a related field, along with experience in AWS, SQL, Python, and API's. Wider Circle offers competitive compensation, benefits, and a culture focused on growth and impact.

Requirements

• Degree in Computer Science, Information Systems, or equivalent education or work experience
• Experience with AWS or similar (S3, Redshift, RDS, EMR) 3+ Years
• Strong abilities with SQL & Python 3+ Years
• Building test automation suites for test and production environments
• Experience using API's for data extraction and updating
• Experience with Git and version control

Responsibilities

• Develop and maintain data quality and accuracy dashboards, and scorecards to track data quality and model performance
• Develop, maintain, and enhance a comprehensive data quality framework that defines data standards, quality and accuracy expectations, and validation processes
• Enhance our data quality through rapid testing, feedback and insights
• Partnering with Engineering & Product to predict data quality issues and production flaws
• Conceptualize data architecture (visually) and implement practically into logical structures
• Performing testing of data after ingesting and database loading
• Manage internal SLAs for data quality and frequency
• Provide expert support for solving complex problems of data integration across multiple data sets
• Updating and evolving our data ecosystem to streamline processes for maximum efficiency

Preferred Qualifications

• Experience with Healthcare Data (Claims, CDAs/HRAs, Eligibility)
• Experience using Salesforce (Salesforce API)
• Matillion, Mulesoft, or related tooling
• Airflow, cron, or other automation tools
• Experience working with Data Packages written in R or Python
• Experience partnering with Data Scientists to optimize or productionalize models

Benefits

• Performance-based incentive bonuses
• Opportunity to grow with the company
• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Paid Time Off
• Employee Assistance Program
• Health Care FSA
• Dependent Care FSA
• Health Savings Account
• Voluntary Disability Benefits
• Basic Life and AD&D Insurance
• Adoption Assistance Program
• Training and Development