Data Engineer

What were looking for: 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. Work with teams across regions (India and Nepal), and help facilitate workstreams Requirements: 3+ years' experience with Data Quality Strong data manipulation skills. Strong querying skills with SQL and data interigation Strong knowledge of healthcare enrollment, medical claims, and drug claims data required. Additional knowledge of non-traditional data types (health & wellness, workforce productivity, and EMR) preferred. 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.