Public Health Data Engineer

About the role

The Data Engineer role is an early‑career position focused on building, maintaining, and enhancing data pipelines, cloud‑based data platforms, and analytics solutions, working under senior engineers and collaborating with cross‑functional teams to deliver reliable data services.

About the company

Guidehouse is a consulting firm that provides advisory, data, and analytics services to public‑sector, healthcare, and federal clients, emphasizing diversity, inclusion, and a supportive workplace.

Requirements

• Ability to obtain and maintain a Federal or DHS Public Trust clearance.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related technical field.
• Experience in data engineering, software engineering, data analytics, computer science, or a STEM‑related technical discipline.
• 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.
• Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.
• Exposure to Databricks, Spark, or large‑scale data processing technologies.
• Familiarity with version control systems such as Git.
• Basic understanding of software development lifecycle and Agile methodologies.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Ability to learn new technologies and work collaboratively in a team environment.
• Strong verbal and written communication skills.
• Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.
• Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.
• Exposure to CI/CD tools and DevOps practices.
• AWS, Azure, Databricks, or related cloud/data certifications.
• Experience supporting healthcare, public sector, or federal clients.
• Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.
• Previous consulting, client‑facing, internship, or cooperative education experience.