Public Health Data Engineer: Cloud Pipelines & ETL

Guidehouse; San Antonio (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Retirement Plan

Paid Holidays

Tuition Reimbursement

Employee Assistance Program

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.

Responsibilities include building and testing data pipelines, contributing to data models and cloud data solutions, and

Qualifications

• Bachelor's degree in a related technical field.
• Two or more years of experience in data engineering, software engineering, data analytics, or related discipline.
• Experience with Python, Java, or SQL.
• Experience with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.
• Experience with 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 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

CI/CD

Git

AWS

Azure

Data pipelines

Data modeling

Data warehousing

Education

Bachelor's degree in Computer Science

Data Science related field

Information Systems

Engineering

Mathematics

Tools

Databricks

Spark

AWS

Azure

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.

Responsibilities include building and testing data pipelines, contributing to data models and cloud data solutions, and