Senior Data Engineer - Remote Eligible

Job Posting

Location: May work remotely from anywhere in the U.S. (HQ: Aurora, CO)

Job Duties:

• Design, build and execute data pipelines
• Build the configurable ETL framework
• Use engineering best practices following an Agile methodology to deliver high-quality emerging tech solutions
• Analyze and profile data to construct best in class data models
• Optimize SQL queries to maximize system performance
• Provide guidance and support to junior developers
• Troubleshoot bugs and data quality issues
• Collaborate with departments across the organization
• Elicit and document technical requirements
• Utilize agile project management software
• Oversee and execute CI/CD pipeline (continuous integration and continuous deployment)

Education and Experience Required:

• Bachelor of Science degree in Data Science, Computer Science, Information Technology or a closely related technical field
• 5 years of data engineering experience
• Background:
• Five (5) years in: Modern database technologies; Modern programming languages such as Python or Java; SDLC experience in an Agile environment; APIs, CI/CD, Big Data, data architecture and governance; Cloud technologies and platforms such as GCP, Docker, Kubernetes, AWS, Snowflake, and Azure; Transforming data using SQL and communicating info through data visualization and reporting; Loading (FCS) flow cytometry standard data; File formats like CSV, Parquet, and Json; Ingesting and engineering with large and complex healthcare datasets; Gathering requirements from business and end users and develop technical design of new systems; Jenkins, GitHub, Jira, and Big Data technologies such as Spark or similar technology; Using IDEs such as PyCharm, Eclipse, JBoss, and IntelliJ; Relational database experience.

Rate of Pay: $150,000 to $160,000 per year

How to Apply: Email Careers@RefinedScience.com with job ref #SDE in subject heading