Senior Data Engineer

Senior Data Engineer

 

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 and 5 years of data engineering experience.

 

Five (5) years in:

1)     Modern database technologies;

2)     Modern programming languages such as Python or Java;

3)     SDLC experience in an Agile environment;

4)     APIs, CI/CD, Big Data, data architecture and governance;

5)     Cloud technologies and platforms such as GCP, Docker, Kubernetes, AWS, Snowflake, and Azure;

6)     Transforming data using SQL and communicating info through data visualization and reporting;

7)     Loading (FCS) flow cytometry standard data;

8)     File formats like CSV, Parquet, and Json;

9)     Ingesting and engineering with large and complex healthcare datasets;

10)   Gathering requirements from business and end users and develop technical design of new systems;

11)   Jenkins, GitHub, Jira, and Big Data technologies such as Spark or similar technology;

12)   Using IDEs such as PyCharm, Eclipse, JBoss, and IntelliJ; and

13)   Relational database experience.

 

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