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Senior Data Engineer at RefinedScience. . Location: Remote. 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