Cloud Data Engineer for Public Health Analytics

Guidehouse; Houston (TX); In loco; USD 75.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

401(k) retirement plan

Parental leave

Paid holidays

Tuition reimbursement

Employee assistance program

Discretionary bonus

Descrizione del lavoro

Guidehouse seeks a Data Engineer to support data pipelines, cloud platforms, and analytics solutions. Early-career professional with foundational data engineering, software, or cloud experience is welcome.

Responsibilities include ETL/ELT development, data modeling, and collaboration with team members to deliver high-quality data solutions. Travel up to 10% and ability to obtain public trust clearance.

Competenze

• Bachelor's degree in a technical field as listed.
• 2+ years in data engineering, software engineering, or related discipline.
• Experience with Python, SQL, and cloud platforms (AWS or Azure).
• Experience with data integration, ETL/ELT, data warehousing, or analytics concepts.

Mansioni

• Develop, test, and maintain data pipelines and ETL/ELT processes.
• Support cloud-based data environments in AWS and Azure.
• Help implement data models, databases, and cloud data solutions.
• Collaborate with engineers, analysts, and stakeholders to deliver solutions.
• Create scripts and applications using Python, SQL, and PySpark.
• Assist with CI/CD practices and version control (Git).
• Monitor pipelines, validate data, and troubleshoot issues.
• Document data flows and system configurations.

Conoscenze

Python

SQL

PySpark

AWS

Azure

ETL/ELT

Git

Data modeling

Data pipelines

Databricks

Spark

CI/CD

Formazione

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

Strumenti

Databricks

Spark

Git

AWS

Azure

Power BI

Tableau

Descrizione del lavoro

Guidehouse seeks a Data Engineer to support data pipelines, cloud platforms, and analytics solutions. Early-career professional with foundational data engineering, software, or cloud experience is welcome.

Responsibilities include ETL/ELT development, data modeling, and collaboration with team members to deliver high-quality data solutions. Travel up to 10% and ability to obtain public trust clearance.