Data Engineer (Remote)

Bachelor’s degree in computer science, Informatics, Information Systems, or another quantitative field.

Strong Software development skills and prior experience using Python, SQL, and Stored Procedures, AWS Glue, Lambda, Step Functions, MWAA-Airflow.

10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), writing views, stored procedures and triggers in an AWS Cloud Environment with RedShift, Aurora, PostgreSQL or similar RDBMS.

Strong database administration skills in AWS cloud databases, RedShift, RDS Aurora PostgreSQL.

Experience with healthcare data (HL7, Medical Claims, Rx Claims) or similar healthcare data is required.

Anticipated annual base pay range: $120,000 - $150,000 plus additional variable compensation.

At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission, and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire.

Please note that the base pay information shown is a general guideline for the job responsibilities and qualifications listed. Salary decisions are based on candidate experience, and market and business considerations.

We are seeking an experienced

Data Engineer

with expertise in an AWS cloud native environment to design, develop, and maintain our data infrastructure and systems necessary for efficient data processing, storage, and analysis. This role will work closely with our product management and data analytics teams to create and manage effective data ETL processes on our application and analytics platforms.

Data Architecture and Design:

Design and implement scalable data architectures using AWS cloud services, including data lakes, data warehouses, bulk data ingestion, and transaction processing.