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Guidehouse seeks a Data Engineer I 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.

• 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.

• Role contingent upon contract award

• U.S. Citizenship or Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.

• Experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.

• Experience in programming languages such as Python, Java, or SQL.

• Experience with data integration, ETL, data warehousing, or analytics concepts.

What Would Be Nice To Have:

• Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.

• Exposure to Databricks, Spark, or large-scale data processing technologies.

• 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.

• 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.