Core Competencies:

• Ethics. Works with integrity; Upholds organizational values.

• Dependability. Follows instructions, responds to management direction; results oriented and committed to achieving objectives and tasks as required.

• Teamwork and Collaboration. Exhibits objectivity and openness to others views; Gives and welcomes feedback; Contributes to building a positive culture. Communicates effectively.

• Professionalism. approaches others in a tactful manner; Reacts well under pressure; Treats others with respect and consideration; Accountable of all actions and decisions.

• Organizational Support. Follows policies and procedures; Completes administrative tasks correctly and on time; Supports organization’s goals and values.

• Quality Management. Looks for ways to improve and promote quality; Demonstrates accuracy and thoroughness.

• Decision Making. Analyzes each situation, looking for opportunities to make any situation more beneficial for the company. Participates effectively in communication to achieve optimum results.

Job Overview:

We are seeking a skilled Healthcare Data Engineer to design, build, and maintain robust and scalable data pipelines. This role is central to managing our ETL (Extract, Transform, Load) processes, ensuring the high quality and accessibility of healthcare data that powers our products like VERSUS™, INVISIO™, and SONUS™. The ideal candidate will have a strong background in data engineering, healthcare data standards, and modern cloud platforms such as AWS or Google Cloud.

Tasks required:

• ETL Pipeline Development: Design, implement, and manage scalable and reliable ETL/ELT data pipelines to process diverse healthcare data from various sources.
• Data Integration: Extract and consolidate data from disparate sources, including electronic health records (EHRs), real-world datasets, pharmacy sell-out data, and disease-specific surveys.
• Data Transformation & Cleansing: Cleanse, validate, and standardize raw healthcare data. Map data to standard medical terminologies (e.g., ICD-10, SNOMED CT, LOINC), remove duplicates, and resolve inconsistencies to ensure high data quality.
• Cloud Management: Utilize AWS or Google Cloud services to build, deploy, and monitor data processing solutions and storage infrastructure.
• Compliance and Security: Implement and maintain strict data security, privacy, and governance protocols to ensure compliance with regulations such as HIPAA and GDPR, including encryption, access control, and audit trails.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and ensure the data architecture supports advanced analytics and business intelligence needs.

Requirements:

• Proven experience as a Data Engineer, preferably within healthcare or life sciences.
• Strong expertise in designing and managing ETL/ELT processes and data pipelines.
• Hands-on experience with at least one major cloud platform:
  • AWS: Proficiency with services such as AWS Glue, Amazon S3, AWS Lambda, Amazon Redshift, and AWS HealthLake.
  • Google Cloud: Proficiency with services like Cloud Healthcare API, BigQuery, Dataflow, and Dataproc.
• Solid understanding of healthcare data standards (e.g. HL7, FHIR, DICOM) and data interoperability challenges.
• Proficiency in programming languages such as Python and PySpark, and experience with SQL.
• Knowledge of data security best practices and experience implementing measures to protect sensitive health information.