Data Engineer (Remote)

Evio is a unique pharmacy solutions company focused on transforming high-cost medication solutions. They are seeking an experienced Data Engineer to design, develop, and maintain their AWS-cloud-native data platform, ensuring efficient data processing, storage, and analysis.

Responsibilities:

• Implement cloud-native data solutions across cloud services such as AWS Glue, AWS Lambda, AWS Step Functions, Redshift, Aurora, Amazon S3, MWAA-Airflow
• Design and implement scalable data architectures using AWS cloud services, including data lakes, data warehouses, bulk data ingestion, and transaction processing
• Collaborate with customers and teammates to comprehend data requirements and translate business needs into well-designed data models
• Assemble large, complex data sets that meet functional business requirements
• Stay current with AWS services and recommend suitable tools for specific data engineering tasks
• Develop and support the internal applications using Python, SQL, and Stored Procedures
• Develop, implement, and maintain ETL processes to ingest, clean, and transform complex health care data into our application data platforms
• Automate manual processes and to optimize data delivery and reduce operational friction
• Monitor and tune data pipelines and data storage for performance, cost, and reliability
• Implement caching mechanisms and data partitioning strategies to enhance query efficiency and reduce data processing times
• Continuously evaluate tools and recommend improvements, striving to consistently raise the bar
• Provide technical guidance and mentorship within the data engineering team and foster a collaborative and innovative environment
• Partner closely with product and analytics team to understand business goals and engineer solutions to the right problems
• Contribute to a culture of transparency, accountability, and continuous improvement
• Implement and enforce data security measures and maintain data governance standards and access controls to protect sensitive data
• Ensure compliance with health care data regulations and industry best practices

Requirements:

• Bachelor's degree in computer science, Informatics, Information Systems, or another quantitative field
• 10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience
• Expertise building and administering, including writing views, stored procedures, and triggers, in AWS-native data systems (Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA-Airflow)
• Strong Python and SQL experience, including advanced query design and database optimization
• Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data is required
• Ability to develop subject-matter expertise and partner thoughtfully with business teams
• Trusted partner: reliable to deliver accurate work in a timely manner
• A passion for working with a team to improve how data drives meaningful outcomes