*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.

Background: 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

How to apply: Email Careers@RefinedScience.com{rel="noopener noreferrer" target="_blank"}

with job ref #SDE in subject heading

Refined Science

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