DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
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For further inquiries regarding the following opportunity, please contact our Talent Specialist, Hema at or Sri at
Title: Data Engineer 3
Duration: 12 Months
Location: Remote
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Description:
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.
Required Skills
- 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
- 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
Software Skills
- 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.
Education
- 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.
About us:
DivIHN, the ''IT Asset Performance Services'' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
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