What are the responsibilities and job description for the Data Engineer position at RefinedScience?
Location: Aurora, CO
What you will do:
What you will do:
- 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.
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