Data Engineer

Interview Process: In-Person

Need locals to Harrisburg, PA

Responsibilities:

• Create and maintain optimal data pipeline architecture.

• Design and implement cloud-based data solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda. 

• Build and maintain data orchestration workflows using tools such as Apache Airflow, AWS Step Functions, or similar services. 

• Assemble large, complex data sets that meet functional / non-functional business area requirements.

• Engineer analytical data environments that support advanced statistical analysis, predictive modeling, machine learning, and evidence-building activities.

• Partner with data scientists, research analysts, and policy analysts to ensure enterprise data assets support reproducible research and statistical modeling.

• Identify, design, and implement internal process improvements: e.g. automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.