Data Engineer

Job Family: Data Science Consulting

Travel Required: Up to 10%

Clearance Required: Ability to Obtain Public Trust

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands‑on experience with modern data engineering tools, cloud services, CI/CD, and version control, and will collaborate with cross‑functional teams to deliver high‑quality, scalable data solutions.

• Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.
• Build and optimize data architectures and models to support analytics, reporting, and operational needs.
• Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git.
• Develop and deploy cloud‑based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes).
• Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
• Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, Cloud Watch, Kibana).
• Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption.
• Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
• Document data flows, processes, and technical solutions for knowledge sharing and compliance.
• Stay current with emerging technologies and best practices in data engineering, cloud, and Dev Ops.

• U.S. Citizenship/ Green Card is required.
• A bachelor’s degree is required.
• Minimum of EIGHT (8) years of experience in data engineering, software development, or related roles.
• Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).
• Strong hands‑on experience designing and developing data pipelines and ETL processes.
• Extensive experience with relational and No
  
  SQL databases, such as Oracle, MySQL, PostgreSQL, SQL Server, and MongoDB, including data modeling and stored procedure development.
• Demonstrated experience with AWS cloud services, including S3, Redshift, Lambda, ECS, and SQS.
• Experience working with Databricks and large‑scale data processing environments.
• Familiarity with containerization and orchestration technologies, including Docker and Kubernetes.
• Experience with CI/CD tools and pipelines, such as Jenkins, Maven, Git, Git Hub, and Bitbucket.
• Hands‑on experience with monitoring and logging tools, including Splunk, Cloud Watch, Kibana, and Elasticsearch.
• Proven experience operating in Agile development environments.
• Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.
• Ability to work independently in a fast‑paced environment.
• Strong analytical and troubleshooting skills.
• Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.

• Experience supporting federal programs and/or large‑scale data modernization projects.
• Certifications in AWS, or other cloud/data engineering domains.
• Experience with data visualization tools (e.g., Kibana, Tableau).
• Familiarity with security best practices and compliance in federal environments.
• Experience with microservices, Spring Boot, and integration of AI/ML components.
• Previous consulting experience

The annual salary range for this position is $-$. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid…