| Healthcare Data/ETL Engineer // Remote // NO H1B NO CPT at Remote, Remote, USA |
| Email: [email protected] |
| Title: Data/ETL Engineer (Pharmacy Claims Data focused) I have more detail around the targeted focus of this position which now requires Pharmacy CLAIMS data experience. *ANYONE presented so far should be sent this updated detail to see if they have the required experience. Title: Data/ETL Engineer (Pharmacy Claims Data focused) Client: Pharmacy Benefit company Duration: 912-month contract Location: REMOTE (Must live in the U.S.) Note : you have them go thru the job description again in more detail. Once theyve done that, ask them to send you a writeup of a paragraph or two, describing why they feel they are a good fit for the position. Basically, for this position specifically, have them take their experience as it relates to the description and describe why they are a fit because you have the experiences listed etc. I do NOT want cut and paste bullet points from their resume. Think of it as a writeup/off the cuff describing their work history and skills as it relates to Pharmacy Claims data and integration into a DWH environment, AWS Glue, and Python. Along with examples of work they have done before, that the position is looking for. We are seeking a talented and experienced Data Engineer with expertise in AWS Glue, Python, and a deep understanding of pharmacy claims data integration into a Data Warehouse (DWH) environment. Position Overview: We are looking for a skilled Data Engineer who will play a key role in designing, developing, and implementing robust data pipelines for integrating pharmacy claims data from disparate systems into our Data Warehouse. The ideal candidate will have extensive experience with AWS Glue, Python programming, and a strong background in handling healthcare data, particularly pharmacy claims. The successful candidate will be responsible for ensuring the reliability, scalability, and efficiency of our data infrastructure while adhering to industry best practices and security standards. Qualifications: Bachelors degree in computer science, Engineering, or related field; masters degree preferred. Proven experience (8+ years) as a Data Engineer with a focus on AWS Glue, Python programming, and healthcare data integration. Strong understanding of pharmacy claims data formats, standards (e.g., NCPDP), and industry regulations (e.g., HIPAA). Hands-on experience with AWS services such as Redshift, S3, IAM, CloudWatch, and Lambda. Proficiency in infrastructure as code (IaC) tools like AWS CDK and Terraform. Familiarity with Data Vault methodology and dimensional modeling concepts. Excellent problem-solving skills and ability to troubleshoot complex data issues. Strong communication skills with the ability to collaborate effectively with cross-functional teams. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer) are a plus. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS Glue for extracting, transforming, and loading (ETL) pharmacy claims data from various sources into our Data Warehouse. Collaborate with cross-functional teams to understand data requirements, business logic, and data quality standards related to pharmacy claims data. Implement data transformation and enrichment processes to standardize and cleanse pharmacy claims data, ensuring accuracy and consistency. Work closely with Data Architects to design and optimize data models within the Data Warehouse (e.g., Redshift) to support efficient data storage and retrieval. Utilize Python programming skills to customize ETL scripts, automate data processes, and implement data validation checks. Implement and manage infrastructure as code (IaC) using AWS Cloud Development Kit (CDK) and Terraform to provision and configure AWS resources for data processing and storage. Collaborate with DevOps and Security teams to ensure data privacy, compliance, and governance standards are met throughout the data lifecycle. Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability. Document technical specifications, data lineage, and system configurations to support knowledge sharing and maintainability. Stay current with emerging technologies, best practices, and industry trends in data engineering and healthcare informatics. Look for people out of the following: Aetna/CVS Caremark: Cigna/Cigna's Evernorth/Express Scripts UnitedHealth's OptumRx Humana Pharmacy Solutions Prime Therapeutics/Magellan Rx MedImpact Healthcare Systems Centenes PBM is Cignas Evernorth/Express Scripts -- Keywords: sthree information technology golang Healthcare Data/ETL Engineer // Remote // NO H1B NO CPT [email protected] |
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| Tue Apr 09 21:10:00 UTC 2024 |