AWS Data Engineer - Healthcare/Rx Claims

Medix

$125K — $140K *
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-10+ years as a Data Engineer
  • Expertise in AWS tools: Glue, Lambda, Step Functions, Redshift, Aurora, RDS PostgreSQL
  • AWS Certified Data Engineer
  • Proficient in Python and SQL, including stored procedures and optimization
  • Experience with Healthcare Claims or Pharmacy Claims is preferred
  • Permanent authorization to work in the US required
  • Strong communication skills for cross-team collaboration

Responsibilities

  • Design, implement, and support cloud-native data solutions
  • Utilize AWS services for data management and processing
  • Build and maintain ETL pipelines with AWS Glue and Lambda
  • Optimize data pipeline performance in a DataOps environment
  • Enforce data governance and security protocols
  • Troubleshoot and enhance data streams and storage efficiency
  • Support application and database operations with Python and SQL code
  • Collaborate with product and analytics teams to develop data models

Benefits

  • Remote work flexibility
  • Direct hire position
  • Focus on healthcare data solutions
  • Cutting-edge technology within AWS ecosystem
  • Collaborative team environment
Full 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

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.


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