Job Location: Franklin, TN
One of StaffSource’s top clients is seeking a highly-skilled, experienced Data Engineer to join their growing team. The ideal candidate will be deeply committed to nurturing their mission of teamwork, communication, empowerment and quality care in a friendly and encouraging environment.
- Healthcare Industry
- Hybrid Schedule
- Direct Hire
Responsibilities
This position is accountable for implementing internal controls in technology products as defined by the business. Those internal controls may be recommended by auditors, vendors, regulatory agencies, etc., but this position is responsible for obtaining formal approval for the internal control with functional areas such as clinical, compliance, and legal.
- Responsible for the conception, design, development, and deployment of data architecture and data models
- Design that the data architecture to be scalable and maintainable
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data and report delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other technologies.
- Perform basic database administration tasks when needed
- Build 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 including Executive, Product, and Finance teams to assist with data-related needs.
- Create data tools for analytics team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users
- Work with the business in designing and delivering correct, high-quality data
- Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions
- Responsible for learning the aspects of compliance in the company by completing all mandatory compliance training.
- The ability to perform the physical, use of senses, cognitive, and environmental functions of the position, as specified on the physical demands.
- The ability to build and maintain confidence and credibility with all clients and employees.
- The ability to maintain friendly, cordial relations with all clients and employees; maintain a positive work atmosphere by acting and communicating in a manner that results in a positive work relationship with customers, co-workers, and managers.
- Ability to comply with Company Standards of Operations.
- Ability to adhere to the Core Values of the Company, of teamwork, communication, empowerment, quality of care, and friendliness
Education
- Bachelor’s degree in Computer Science, Management Information Systems, Finance, Healthcare Administration, or another related field.
Experience
- 2-5 years of experience in a Data Engineer role
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Broad understanding of Data Modeling, OLAP, SQL and ETL
- Practical experience with one or more ETL tools, such as SSIS
- Experience building and optimizing data pipelines, architectures, and data sets.
- Database administration experience preferred
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Knowledgeable of Source Control and Project Management tools like TFS, Git, and JIRA
- Familiarity with DevOps best practices and automation of documentation, testing, build, deployment, configuration, and monitoring
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong project management and organizational skills.
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