Statistics & Data Corporation
Healthcare
SeniorDataEngineer
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“Senior Data Engineer at Statistics & Data Corporation. Skills: Data Engineering, Data Architecture, Data Pipelines. Design data architecture. Automate cleaning data”
What You'll Achieve.
Transform data into information; Support understanding of safety; Support understanding of efficacy; Simplify data processing; Discover imperceptible correlations
Industry & Context.
Identify issues; Present problems; Implement solutions; Debugging; Code reviews
What They're Looking For.
Must Have
7 years technical experience, 4 years Data Engineering centric role, 10 years technical experience, 5 years Data Engineering centric role, Fluency in Python, Experience parsing data, Experience manipulating data, Experience converting data, Deep understanding of RDBMS concepts, SQL syntax experience, Design efficient data warehouse, Solid understanding of database systems, System design capabilities, Experience in software development lifecycle, Ability to mentor data engineers, Ability to increase team productivity, Ability to work with stakeholders, Ability to translate business requirements, Ability to communicate effectively, Ability to identify issues, Ability to present problems, Ability to implement solutions, Capability of communicating technical concepts, Good leadership skills, Good organizational skills, Good time management skills, Ability to multi-task, Interpersonal communication skills, Presentation skills
Nice to Have
Contract Research Organization experience, Familiarity with CRO operations
What You'll Do.
Design data architecture
Automate cleaning data
Automate processing data
Automate analyzing data
Establish Data Quality Best Practices
Establish Data Governance Best Practices
Establish Master Data Management Best Practices
Design ETL frameworks
Incorporate new pipelines
Manage production systems
Maintain production systems
Engage with cross-functional departments
Strategically design data pipelines
Strategically develop data pipelines
Strategically implement data pipelines
Increase team productivity
Exemplify good documentation
Exemplify good coding
Exemplify good testing
Develop standard operating procedures
Prototype new technologies
Create proof of concept
Maintain ETL pipelines
Develop ETL pipelines
Maintain Enterprise Data Warehouse
Update translation logic
Support warehouse servers
Follow Data Quality Best Practices
Follow Data Governance Best Practices
Follow Master Data Management Best Practices
Deliver high quality software design documentation
Contribute to development of standard operating procedures
Perform other related duties
Adhere to essential systems
Adhere to essential processes
Act as resource for team members
How You'll Work.
Team & Collaboration
Internal cross-functional departments; Other data engineers; Other team members
Communication Scope
Communicate technical concepts; Written communication; Verbal communication
Full Job Description
**Senior Data Engineer** Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials. **Job Summary** The Senior Data Engineer will design and automate the cleaning, processing, and analyzing of both clinical data and nonclinical data with the goal of transforming data into information that supports better understanding of the safety and efficacy of new clinical therapies. The role contributes to the organization’s strong drive to be at the forefront of using Artificial Intelligence (AI) in clinical trials to simplify data processing and discover imperceptible correlations. **Primary Responsibilities** • Designs and develops data architecture for new and existing applications and data sources • Establishes Data Quality, Data Governance and Master Data Management Best Practices to enable the business to maintain clean and accurate data • Designs ETL frameworks and features to allow for robust and scalable data pipelines • Incorporates new pipelines into the existing data model, augmenting as needed • Manages and maintains several production systems • Engages with various internal cross-functional departments to strategically design, develop and implement data pipelines while understanding the underlying data • Increases team productivity by developing, identifying, and implementing better tools and processes • Exemplifies good documentation, coding, and testing best practices • Develops standard operating procedures for the use of artificial intelligence and data engineering principles within clinical trials • Prototypes new ideas/technologies to create proof of concept and demos • Provides mentorship for o
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