Job Title: Data Engineer 3 Location:Remote Duration: 12 Months with Potential to Extend/ Potential to Convert to FTE
Job Responsibilities-
Develops study specific annotated CRFs, database documentation, edit check specifications, data handling conventions and data entry instructions.
Programs SAS edit checks and SAS macros for clinical trials, encompassing ETL processes, data validations, statistical analyses, and report generation.
Design and develop robust ETL/ELT pipelines for structured and unstructured data.
Hands-on database administrator skills to manage or identify root cause and resolve issues stemming from the management of structured and/or unstructured data sources.
Conduct data automation tasks, including software development, testing, and validation.
Familiarity with Power BI, R, Python, HTML, JavaScript, and REST APIs for data downloading is a plus.
Collaborate with biostatistics, data scientists, analysts, and stakeholders to support AI/ML model development and deployment.
Build and optimize data systems for performance, scalability, and reliability. And ensure data quality, integrity, and security across platforms.
Knowledge of the software development life cycle (SDLC) and experience in coding and design.
Develop and maintain documentation for data architecture, processes, and workflows. Experienced in Rest API connection.
Job Requirements:
SAS include SAS base/Macros/graph/listing
Data visualization software such as Power BI, Python, RShiny
Data pipeline and workflow management tools Web Rest API connection
Advanced SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
Exposure to AI/ML concepts and experience supporting model pipelines
A working knowledge of manipulating, processing, and extracting value from large datasets.
Required Skills (top 3 non-negotiables):
Experience with clinical data management documentation, CRF development, EDC building, data quality check
Experience with data automation tools and the building and optimizing robust ETL/ELT pipelines for structured and unstructured data
Programs SAS edit checks and SAS macros for clinical trials
Preferred Skills (nice to have)
Data visualization software such as Power BI, Python, RShiny
Advanced SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Exposure to AI/ML concepts and experience supporting model pipelines
Education Requirements:
Minimum of a Bachelors’ Degree required; Advanced Degree preferred. Desired fields of study include Computer Science, Data Science, Statistics, Informatics, Information Systems or related quantitative field.
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 55.00/hr.
