Data Engineer (AWS)

Location: Harrisburg, Pennsylvania, USA

Salary: $100–$110 per hour

Company

hirify.global.

What you will do

• Create and maintain scalable data pipeline architecture and cloud-based data solutions using AWS services including S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda.
• Build data orchestration workflows with Apache Airflow, AWS Step Functions, or similar tools.
• Develop extraction, transformation, and loading infrastructure for diverse data sources, including SQL and big data technologies.
• Build analytical environments, dashboards, reports, models, and decision-support products for education, workforce, and operational outcomes.
• Implement pipeline monitoring, alerting, logging, data quality checks, and validation frameworks.
• Partner with data scientists, research and policy analysts, executives, and cross-functional teams while supporting data governance, privacy, security, and data-sharing requirements.

Requirements

• Advanced SQL and relational database skills, including query authoring and familiarity with varied database systems.
• Experience building and optimizing big data pipelines, architectures, and datasets.
• Advanced experience designing dashboards, reports, analytical models, and decision-support products for executive and non-technical users.
• Experience working with student-level higher education data and linking it with employment and wage data to measure outcomes or generate decision-making insights.
• Experience performing root-cause analysis on internal and external data and processes to answer business questions and identify improvement opportunities.
• Strong analytical skills with unstructured datasets and experience manipulating, processing, and extracting value from large, disconnected datasets.
• Experience building processes for data transformation, data structures, metadata, dependency, and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable big data stores.
• Strong project management, organizational, and cross-functional collaboration skills in a dynamic environment.

Culture & Benefits

• Work involves collaboration with Executive, Data, Design, Support, data science, research, and policy teams.
• Data systems must comply with applicable Commonwealth policies, data governance standards, privacy requirements, security controls, and interagency data-sharing agreements.