Senior Data Engineer

Location

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

• 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
• Oversee and execute CI/CD pipeline (continuous integration and continuous deployment)

Bachelor of Science degree in Data Science, Computer Science, Information Technology or a closely related technical field and 5 years of data engineering experience.

• 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, Git Hub, Jira, and Big Data technologies such as Spark or similar technology
• Using IDEs such as PyCharm, Eclipse, JBoss, and IntelliJ

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