Data Engineer

Title: Medical Data Specialist II Location & Schedule: Hybrid in Valencia, CA (3 days onsite). Contract: 1 Year of Contract Core Profile Sought: The HM is looking for a Data Architect and Engineer with strong analytical skills, not just a data analyst. The extensive list of required skills points to a professional who can handle the entire data lifecycle—from architecture and storage to retrieval, quality, and warehousing. Key Interpretation of Required Skills: The skills list highlights a need for a candidate who is proficient in: • Data Infrastructure & Architecture: This is the primary focus. The candidate must be able to "Develop Complex Data Architectures," manage Data Storage, Data Warehousing, and Datamarts. • Full-Lifecycle Data Management: They need hands-on skills in Data Management, Modeling, retrieval, customization, and archiving. • Data Integrity: A strong emphasis on Data Quality Analysis and Data Cleansing Techniques is critical, which is especially important for regulated (e.g., HIPAA) data. • Database Proficiency: Deep knowledge of Database Technology, Database Management, and DBA-adjacent skills are required to build and maintain robust systems. Top Required Technical Skills: • Cloud & Big Data: AWS (Glue, EMR, S3, Lambda) and big data processing frameworks like Spark. • Programming: Strong Python and SQL are essential; Scala is a plus. • Data Modeling: Expertise in both relational (e.g., PostgreSQL) and NoSQL databases, ideally with clinical data schemas. • Data Integration: Experience with RESTful APIs and, crucially, healthcare data formats like HL7/FHIR.