At Axiom, we specialize in providing outstaffing and recruitment services for IT, Back Office, Support, and Market Research. Our track record includes successfully establishing effective remote communication channels and completing complex projects.
Our client, a company that is actively solving some of the greatest challenges in healthcare through innovative technology and data solutions, is looking for an ETL QA Automation Engineer. The customers and partners, including pharmaceutical manufacturers, payers, and government organizations, look to the company to partner on their most complicated use cases, leveraging the company’s transformative technologies and real-world data infrastructure. The IPGE platform, based on the foundational elements of Identity, Privacy, Governance, and Exchange, enables the discovery of RWD across the broadest healthcare data ecosystem, the building of more complete and accurate patient journeys, and the ability to power best-in-class analytics and applications with flexibility and ease.
As an ETL QA Automation Engineer, you will be responsible for ensuring that the clients have the highest quality of data to make their everyday decisions. You will be responsible for troubleshooting and resolving complex data quality issues, and the team will rely on you for your expertise with healthcare data and your strong SQL skills.
Responsibilities
– Analyze all vendor data assets and correct complex data anomalies
– Provide guidance and support during the vendor on-boarding process, which includes data ingestion, normalization, and QC activities
– Provide expertise on all healthcare data types: medical claims transactions (e.g. 837 and 835), pharmacy claims (NCPDP D.0), EMR/EHR, lab transactions, and other emerging data assets
– Provide Quality Assurance for new Data Source mapping and normalization SQL produced by the Data Architect
– Develop repeatable testing routines to expedite QA that can also be used to closely monitor the recurring ingestion for ongoing QC
– Develop and maintain trend analysis for longer-term, historical quality control
– Perform analytics against healthcare data using SQL-based programming tools
Requirements
– BS degree in math, statistics, or similar
– Proficient in programming against large data assets with professional SQL and Python experience
– 4+ years’ experience in the healthcare data industry, preferably in a consulting or analytic-based environment
– Ability to gather requirements, test strategies, design deliverables
– Subject matter expertise in a wide variety of healthcare data assets
– Knowledge of the healthcare industry and analytics utilized by pharmaceutical marketing teams
– Proven analytical, evaluative, and problem-solving abilities
– Skilled teaching and instruction capability
– Extensive experience working in a team-oriented, collaborative environment
Mandatory Skills
– Quality Assurance
Mandatory Languages
– English
Working Day
– Full Time Job
Working Conditions
– Full-time position, working hours from Monday to Friday until 1 PM EST
– Monthly payments on Payoneer/PayPal/cryptocurrency wallet
– Holidays and days off can be discussed
– This is a fully remote position based on a contract employment