Cloud Data Engineer — Public Health Analytics

Guidehouse; Huntsville (AL); On-site; USD 85,000 - 115,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Employee Referral Program

Tuition Reimbursement

Job summary

Guidehouse seeks a Data Engineer to support data pipelines, cloud platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.

You will develop, test, and maintain ETL/ELT pipelines, support AWS/Azure data environments, and collaborate with engineers and analysts to deliver high-quality solutions.

Qualifications

• Bachelor’s degree or higher in a technical field.
• 2+ years of data engineering or related experience.
• Experience with Python, SQL, or Java.
• Experience with cloud platforms (AWS or Azure).
• Experience with ETL/ELT, data warehousing, or analytics concepts.

Responsibilities

• Develop, test, and maintain data pipelines and ETL/ELT processes ingesting data from multiple sources.
• Support data models, databases, and cloud-based data solutions.
• Participate in data integration, migration, and modernization efforts.
• Develop and maintain scripts and applications using Python, SQL, and PySpark.
• Support cloud environments in AWS and Azure and contribute to CI/CD practices.
• Collaborate with engineers, analysts, and stakeholders to deliver quality solutions.
• Document data flows and system configurations and monitor pipelines for issues.

Skills

Python

SQL

PySpark

ETL/ELT

Cloud computing

Data modeling

CI/CD

Git

Data quality

Education

Bachelor’s degree in CS/DS/IS/Engineering/Math

Tools

AWS

Azure

Databricks

Spark

Git

CI/CD

Job description

Guidehouse seeks a Data Engineer to support data pipelines, cloud platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.

You will develop, test, and maintain ETL/ELT pipelines, support AWS/Azure data environments, and collaborate with engineers and analysts to deliver high-quality solutions.