Public Health Data Engineer: Cloud ETL & Analytics

Socket.dev; San Antonio (TX, GA); On-site; USD 70,000 - 116,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Parental Leave

401(k) Retirement Plan

Group Term Life and Travel Assistance

Transit and Parking Commuter Benefits

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 data pipelines, ETL/ELT processes, data models, and cloud solutions in AWS/Azure, plus

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.
• Foundational knowledge of programming languages such as Python, Java, or SQL.
• Basic understanding of relational databases and data querying concepts.
• Familiarity with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.
• 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

Java

SQL

Cloud platforms

CI/CD

Git

Education

Bachelor's degree in a technical field

Tools

Databricks

Spark

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.

Responsibilities include building data pipelines, ETL/ELT processes, data models, and cloud solutions in AWS/Azure, plus