Job Description
Job Title:
AWS Data Engineer•Healthcare/Rx Claims•254549 Work Location :
Remote in the US Position Type:
Full Time Employment•Direct Hire Position Level:
Mid-Level / Team Member, 5-7 years Compensation Range:
$125,00•$140,000 / year ABOUT OUR CLIENT / ABOUT THE ROLE
Medix is currently seeking an AWS Data Engineer with Healthcare or Pharmacy expertise for a full-time employment opportunity. Our client is an innovative Pharmacy Tech startup organization. Their data ecosystem ingests millions of Healthcare and Pharmacy Claims each month to provide a data-driven approach for improving how patients access and afford medications. The technology is cloud-native, built with the AWS stack. We are seeking experienced AWS Data Engineers to join this team and help build, scale and maintain data pipelines for this platform. DAY TO DAY RESPONSIBILITIES
Working in a team environment to design, implement, and support the scalability of cloud-native data solutions—including data lakes and warehouses Working within an AWS environment, and with AWS services like Redshift, Aurora, S3, Lambda, and Airflow. Building, automating and maintaining robust ETL pipelines using AWS Glue, Lambda, and Step Functions to ingest and process complex healthcare / pharmacy datasets. Working in a DataOps environment to optimize the performance of data pipeline Maintaining data governance. Enforcing strict data security protocols, access controls, and compliance frameworks to safeguard sensitive healthcare information. Monitoring, troubleshooting and fine-tuning data streams and storage architectures to maximize speed, minimize costs, and enhance query efficiency via strategic partitioning and caching. Providing application and database support, writing and optimizing clean Python code, advanced SQL queries, and complex stored procedures to support internal data applications. Partnering closely with product and analytics teams to translate business requirements into highly functional, scalable data models. REQUIRED QUALIFICATIONS, EXPERIENCE AND SKILLS
8-10+ years professional experience as a Data Engineer Deep expertise in AWS cloud-native ecosystems, specifically utilizing Glue, Lambda, Step Functions, Redshift, Aurora, and RDS PostgreSQL. Certification as an AWS Certified Data Engineer Expert-level proficiency in Python and SQL, including views, triggers, stored procedures, and database optimization Direct, hands-on experience working with Healthcare Claims, Pharmacy / Rx Claims is highly preferred, and will be given preference Must be permanently authorized to work in the US (Visa sponsorship not offered) Exceptional communication skills with the ability to build trust across business units and consistently deliver precise, accurate work in a fast-paced environment. _________ • We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance (FCIHO), Los Angeles Fair Chance Ordinance for Employers (ULAC), The San Francisco Fair Chance Ordinance (FCO), and the California Fair Chance Act (CFCA). • This position is subject to a background check based on its job duties, which may include patient care, working with vulnerable populations, access to financial and confidential information, driving, working with heavy machinery, or working in a warehouse or laboratory environment. Due to these job duties, this position has a significant impact on the business operations and reputation, as well as the safety and well-being of individuals who may be cared for as part of the job position or who may interact with staff or clients.
