Senior Data QA Engineer

Summary

Join Abacus Insights, a mission-driven technology company transforming healthcare data, as a Sr. Data QA Engineer. You will design testing procedures for software applications, analyze application functionality, and design automated tests. Responsibilities include data quality analysis, data mining, reviewing testing, leading data quality strategy development, and collaborating with various teams. Success requires advanced programming skills, attention to detail, and project management expertise. The ideal candidate will have a Bachelor's or Master's degree in a relevant field and 5+ years of data quality experience in healthcare tech. Strong data manipulation, SQL querying, ETL processing, and knowledge of data pipelines are essential.

Requirements

• Bachelor's degree/Master’s Degree in relevant field such as Health Science, Computer Science, Business, or equivalent experience
• 5 years' experience with Data Quality in a Healthcare Tech Provider or a health pan
• Strong data manipulation skills
• Strong querying skills with SQL and data integration
• Strong knowledge of ETL data processing and QA processes to validate ETL process
• Strong knowledge of Data Pipelines and data quality processes in data pipelines
• Working knowledge of Spark SQL
• Strong knowledge of healthcare enrollment, medical claims, and drug claims data required
• Excellent written and verbal communication skills, with the ability to multitask and prioritize projects to meet scheduled deadlines
• Strong interpersonal skills required
• Ability to work well independently or in a team environment, and mentor other team members
• Advanced programming skills including automation systems and databases
• Familiarity with programming script languages including Java and Python
• Excellent knowledge of cloud computing, (AWS, S3, EC2,SSM, Athena, DataBricks)
• Detailed knowledge of application functions, bug fixing, and testing protocols
• Very good knowledge of Machine Learning, AI and their implications on real time projects

Responsibilities

• Work collaboratively with Project Management, Operations, Development and Engineering to deliver all contractually required services
• Investigates and responds to questions for assigned product lines
• Provides data quality analysis and data mining on client-specific data and general healthcare data
• Reviews testing executed by multiple groups
• Lead the development of data quality strategy
• Assist the Connector Engineering/Tools team with new business requirements and help them with Functional Specifications
• Identify, document and refine standard processes
• Meeting with the software design team to discuss verification protocols
• Identifying software application weaknesses and target areas
• Sketching out ideas for automated software test procedures
• Reviewing software bug reports and highlighting problem areas
• Writing automation scripts and implementing software applications
• Designing and installing Automated QA applications and dashboards
• Identifying quality issues and creating test reports
• Collaborating with the design team to solve application faults

Preferred Qualifications

Additional knowledge of non-traditional data types (health & wellness, workforce productivity, and EMR) preferred