Data Engineer & Insights Analyst

• Design, build, and maintain scalable data pipelines and cloud-based data architectures.
• Develop data solutions using AWS services, including S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda.
• Build and manage data orchestration workflows using Apache Airflow, AWS Step Functions, or similar tools.
• Extract, transform, and integrate large datasets from multiple sources using SQL and big data technologies.
• Develop analytical data environments supporting statistical analysis, predictive modeling, and machine learning.
• Perform data quality checks, validation, monitoring, logging, and root-cause analysis.
• Develop dashboards, reports, analytical models, and decision-support products.
• Support data conversion and system modernization initiatives.
• Implement data governance, metadata management, data lineage, privacy, and security controls.
• Collaborate with cross-functional teams to support enterprise data and analytics initiatives.

Analysis Skills, Data Management, Cloud Computing, Scalable System Development, Electronic Medical Records, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), AWS Lambda, Apache, Data Sets, * Advanced SQL skills and experience with relational databases.

• Strong experience building and optimizing large-scale data pipelines and architectures.
• Experience developing dashboards, reports, analytical models, and decision-support products.
• Experience working with student-level higher education data and linking education data with employment and wage data.
• Strong analytical and problem-solving skills, including root-cause analysis.
• Experience processing large, complex, disconnected, and unstructured datasets.
• Strong project management and organizational skills.
• Experience working with cross-functional teams in a dynamic environment.