Data Engineer (Remote)

About the role

At Evio, we are building a suite of solutions that enable pharmacy innovation and improved patient outcomes. Our solutions infrastructure is foundational to the value we offer to customers. We are seeking an experienced Data Engineer who wants to build reliable, scalable systems to bring our mission to life.

Responsibilities

• 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: 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.

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.

Qualifications

• Expertise in designing and implementing scalable data architectures using AWS cloud services.
• Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data.
• Strong Python and SQL experience, including advanced query design and database optimization.
• Ability to develop subject-matter expertise and partner thoughtfully with business teams.
• Trusted partner: reliable to deliver accurate work in a timely manner.

Skills

• 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.
• Ability to develop subject-matter expertise and partner thoughtfully with business teams.
• Trusted partner: reliable to deliver accurate work in a timely manner.

Benefits

• Great Health Insurance: The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents.
• 401K Match: Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits.
• Time Off: We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership.
• Parental Leave: Generous paid leave for new parents (includes birth and non-birth parents).

Pay

Anticipated annual base pay range: $130,000 - $150,000 plus additional variable compensation based on performance.

Schedule

Full-time position.