Job Information
Refined Science Data Engineer in Aurora, Colorado
The Data Engineer position will have the following duties. Build data solutions to address health care issues. Create and maintain optimal data pipeline architecture, including building data systems. Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements including automating manual processes, optimizing data delivery, re-assigning infrastructure for greater scalability. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS "big data" technologies. Build and develop analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs. Keep data from multiple data centers secure and HIPPA compliant. Work with data and analytics experts to strive for greater functionality in data systems. Analyze, organize, and combine raw data. Transform data into a format that can be easily analyzed by developing, maintaining, and testing infrastructures for data generation. Conduct complex data analysis and report on results. Prepare data for prescription and predictive modeling. Build algorithms and prototypes. Explore ways to enhance data quality and reliability. Identify opportunities for data acquisition. Utilize the following tools and technologies: Airflow, Google Cloud Platform (GCP), Python, PyCharm, R Studio, Google Cloud Functions, Google Big Query, PL/SQL, Egnyte, Object Oriented Programming, Data Mart, Spark, and Scala. Position requires domestic travel up to 20% as needed and customary for the occupation. Position allows work from home anywhere in the United States. Headquarters are located at Bioscience 1, 12635 East Montview Blvd. Ste. 175, Aurora, CO 80045.
The position requires a Master's Degree or foreign equivalent degree in Data Science, Computer Science, Information Technology or closely related field. The qualified candidate must have at least 3 years (36 months) of experience in a data engineer position or closely related occupation. The qualified candidate must also have at least 3 years (36 months) of experience with all of the following: (a) building and developing analytics tools that utilize the data pipeline to provide actionable insights; (b) building, designing, and architecting technical data solutions for complex business and information problems; (c) creating and maintaining optimal data pipeline architecture, including building data systems; (d) identifying, designing, and implementing internal process improvements including automating manual processes, optimizing data delivery, and re-assigning infrastructure for greater scalability; and (e) utilizing the following tools and technologies: Airflow, Google Cloud Platform (GCP), Python, PyCharm, R Studio, Google Cloud Functions, Google Big Query, PL/SQL, Egnyte, Object Oriented Programming, Data Mart, Spark, and Scala. All Experience may be gained concurrently.