Public Health Data Engineer - Cloud Pipelines & Analytics

Guidehouse; Beavercreek (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

Guidehouse seeks a Data Engineer to support development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. Early-career professional with foundational experience in data engineering, software development, or cloud technologies is encouraged to apply.

The role involves developing data pipelines, supporting cloud environments in AWS and Azure, and collaborating with engineers, analysts, and stakeholders to deliver high-quality solutions.

Qualifications

• U.S. Citizenship or permanent residency required and must be able to obtain and maintain a Federal or DHS Public Trust.
• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.
• Two (2) or more years of experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.

Responsibilities

• Develop, test, and maintain data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.
• Support the implementation and enhancement of data models, databases, and cloud-based data solutions.
• Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.
• Develop and maintain scripts, queries, and applications using Python, SQL, and PySpark.
• Support cloud-based data environments and services in AWS and Azure.
• Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.
• Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.
• Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.
• Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.
• Document technical processes, data flows, and system configurations.
• Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.

Skills

Python

SQL

PySpark

AWS

Azure

Git

ETL/ELT

Data modeling

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics

Tools

Databricks

Spark

Power BI

Tableau

Kibana

Azure Data Factory

Job description

Guidehouse seeks a Data Engineer to support development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. Early-career professional with foundational experience in data engineering, software development, or cloud technologies is encouraged to apply.

The role involves developing data pipelines, supporting cloud environments in AWS and Azure, and collaborating with engineers, analysts, and stakeholders to deliver high-quality solutions.