Evio - Data Engineer

• Design and administer data systems: • 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. • Build reliable data processes: • 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. • Optimize data pipeline performance: • 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. • Lead and collaborate company-wide: • Lead and collaborate company-wide • 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. • Protect and govern data responsibly: • 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. • The skills and experience you bring to this role include: • 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.