Public Health Data Engineer — Cloud, ETL & Analytics

Guidehouse; Charlotte (NC); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Employee Referral Program

Professional development opportunities

Flexible spending accounts

Transit and Parking benefits

Life insurance

Paid holidays

Job summary

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data 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.

Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from

Qualifications

• Bachelor's degree in a technical field.
• 2+ years in data engineering, software engineering, or analytics.
• Experience with Python, SQL, and cloud platforms (AWS/Azure).
• Knowledge of ETL/ELT, data warehousing, and analytics concepts.
• Familiarity with Git and CI/CD practices.

Responsibilities

• Develop, test, and maintain data pipelines and ETL/ELT processes.
• Support cloud-based data platforms and analytics solutions.
• Collaborate with engineers, analysts, and stakeholders to deliver data solutions.
• Create scripts and queries using Python, SQL, and PySpark.
• Assist with CI/CD processes and monitoring of data environments.
• Document data flows, processes, and configurations.

Skills

Python

SQL

PySpark

Data pipelines

Cloud concepts

Git / CI-CD

Education

Bachelor's degree in CS/DS/IS/Engineering

Tools

Databricks

Spark

AWS

Azure

Git

Job description

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data 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.

Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from