Data Engineer II, Georgia

Overview:
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Wellness incentives 

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Description:
 

The Data Engineer II will be a key contributor in a cross-functional project environment that includes Business Analysts, Project Managers, Information Architects, Data Analysts, and Database Administrators. This role works closely with researchers to identify and translate their data needs into informatics and technical solutions. The ideal candidate brings experience with complex data sets, emerging technologies, data pipeline development, and healthcare compliance standards. A solid background in biomedical informatics, metadata management, and technical documentation is required.

 

Collaboration and Project Support Serve as an integral member of data-centric project teams, ensuring deliverables meet scope, timeline, and budget requirements.

Work directly with researchers to understand research needs, analyze requirements, and translate findings into informatics-driven technical solutions.

Effectively manage workload and report task status to team leaders. Participate in technical team discussions and contribute to solution design and implementation.

Data Engineering and Analytics Design and maintain robust data pipelines and ETL processes to support research and operational initiatives.

Develop and deliver complex reports that integrate data from multiple, disparate systems.

Ensure data accuracy, consistency, and integrity across all systems.

Apply biomedical informatics standards and principles to support research-specific goals and outputs.

Technology and Standards Evaluate emerging technologies and create proof-of-concepts for research and clinical applications. Follow standard operating procedures and ensure compliance with HIPAA and institutional data policies.

Maintain data standards, metadata documentation, and governance strategies for complex datasets.

Documentation and Communication Gather user requirements and create clear and complete technical documentation.

Translate technical concepts and data workflows into understandable formats for various stakeholders.

MINIMUM QUALIFIATIONS:

Bachelor's degree in a related field (e.g., Computer Science, Biomedical Informatics, Data Science, or a healthcare-related discipline)

At least 3 years of related experience, OR an equivalent combination of education, training, and experience

Preferred Qualifications Experience working with research data in academic or clinical environments

Strong proficiency with data engineering tools and languages (e.g., Python, SQL, Apache Spark, Airflow)

Familiarity with HIPAA and healthcare data compliance standards Knowledge of biomedical informatics methodologies

Experience with metadata management and data governance frameworks

Experience creating and maintaining documentation for complex data systems and research workflows

Knowledge, Skills, and Abilities Requirements

Proven experience in designing and maintaining data pipelines and ETL processes

Ability to manage and manipulate large and complex datasets Strong problem-solving and critical-thinking skills

Excellent communication and collaboration abilities

Proficient in data visualization and reporting tools (e.g., Tableau, Power BI)

Additional Details:
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.