Data Engineer I: Cloud Data Pipelines & ETL

Guidehouse; Beavercreek (OH); On-site; USD 53,000 - 88,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Employee Referral Program

Job summary

Guidehouse is seeking an early-career Data Engineer I to support data pipelines, cloud-based platforms, and analytics solutions. The role targets individuals with foundational data engineering or software development experience who are eager to learn in a collaborative environment.

The position emphasizes building, testing, and maintaining ETL/ELT processes, optimizing data models, and working with Python, SQL, and PySpark in AWS/Azure environments.

Qualifications

• Familiarity with Python, SQL, and Java.
• Foundational data engineering knowledge and software development basics.
• Experience with cloud platforms (AWS or Azure) is preferred.

Responsibilities

• Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes.
• Support the implementation and enhancement of data models and cloud-based data solutions.
• Collaborate with data engineers, developers, analysts, and stakeholders to deliver high-quality data solutions.
• Document technical processes, data flows, and system configurations.
• Continuously develop technical skills with emerging data engineering technologies.

Skills

Python

SQL

Java

Education

Bachelor's degree in Computer Science or related field

Tools

Git

AWS

Azure

Databricks

Job description

Guidehouse is seeking an early-career Data Engineer I to support data pipelines, cloud-based platforms, and analytics solutions. The role targets individuals with foundational data engineering or software development experience who are eager to learn in a collaborative environment.

The position emphasizes building, testing, and maintaining ETL/ELT processes, optimizing data models, and working with Python, SQL, and PySpark in AWS/Azure environments.