Data Engineer I: Cloud ETL & Pipelines

Guidehouse; Charlotte (NC); On-site; USD 53,000 - 88,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Paid Holidays

Tuition Reimbursement

Job summary

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

The role involves building ETL/ELT processes, supporting data models, and collaborating with engineers, analysts, and stakeholders to deliver high-quality solutions. Travel up to 10% may be required.

Qualifications

• Bachelor's degree in a related technical field.
• Foundational knowledge of programming languages such as Python, Java, or SQL.
• Experience in data engineering, software engineering, data analytics, computer science, or a STEM related technical discipline.
• Familiarity with cloud platforms such as AWS or Azure.
• Exposure to data integration, ETL, data warehousing, or analytics concepts.

Responsibilities

• Assist in developing, testing, and maintaining 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 technologies such as 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

Git

AWS

Azure

ETL/ELT

Data pipelines

Data modeling

Education

Bachelor's degree

Tools

Databricks

Kubernetes

Job description

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

The role involves building ETL/ELT processes, supporting data models, and collaborating with engineers, analysts, and stakeholders to deliver high-quality solutions. Travel up to 10% may be required.