Job Location: Nashville, TN
Job Description
Title: Data Engineer
Location: Fully remote
Duration: 12+ months
Duties
- The engineer will work as part of a team to develop advanced analytical solutions for the client.
- Health clients, including building new software product initiatives for healthcare organizations.
- Must possess engineering and programming skills to solve and automate the data wrangling challenges from both an internal and client perspective to build systems which deliver actionable business insights.
- Looking for an agile professional willing to mentor teammates to accomplish bigger goals.
- Experience working with large analytical data warehouses and ETL platforms on in distributed computing environments is required, with additional on the job training available.
Responsibilities
- Will work as part of a team to write code for advanced analytical solutions for ***
- Health clients, including building new product initiatives for healthcare organizations.
- Produce data marts and data pipelines.
- Must be able to understand and develop data architecture and integration to devise data ingest and extract strategies.
- Will need to understand *** Health data structures and business objectives to extract and organize relevant data.
- Must be able to communicate ideas and analysis results effectively both verbally and in writing to a technical audience.
- Support healthcare consulting organization and product development group by providing data and engineering expertise.
- Oversee development of reporting architecture for enhancing platforms and processes.
Qualifications
This position requires a highly motivated, energetic, and positive person with:
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or other engineering discipline required.
- Fluency in SQL, Python, and knowledge of other computer languages.
- Expertise in Linux systems and Bash scripting
- A proven track record for executing complex data extraction and ETL projects.
- Expertise in relational databases, data warehousing, data storage principles for handling big data
- Ability to create appropriate data architectures and pipelines.
- Understands software development principles and operations.
- Experience with Hadoop ecosystem
- Demonstrated ability to communicate ideas and engineering results effectively both verbally and in writing to technical audiences.
Job #: 22-18720
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