Guidehouse
Data Science Consulting
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Guidehouse. Skills: Data pipelines, Cloud-based solutions, Analytics platforms, ETL processes, Data architectures and models, CI/CD pipelines, Cloud platforms (AWS, Azure), Containerization (Docker, Kubernetes). building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources”
What You'll Achieve.
deliver high-quality, scalable data solutions; ensuring high availability and reliability
Industry & Context.
analytical skills; troubleshooting skills
Up to 10% Travel, Ability to Obtain Public Trust Clearance, US Citizenship is required
What They're Looking For.
Must Have
US Citizenship is required, Bachelor’s degree is required, Minimum FIVE (5) years of experience in data engineering, software development, or related roles, Proficient experience with: Programming languages (Java, Python, SQL, Pyspark); Data pipeline and ETL Database technologies (Oracle, MySQL, Postgres, SQL Server, MongoDB); Data modeling, stored procedures, and API development (RESTful, SOAP), Demonstrated experience with: Cloud platforms: AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions); Containerization and orchestration (Docker, Kubernetes); CI/CD tools (Jenkins, Maven, Git, Bitbucket, GitHub); Monitoring and logging tools (Splunk, CloudWatch, Kibana, Elasticsearch), Effectively operate using Agile methodologies, Ability to work in fast-paced environment independently
Nice to Have
Experience supporting federal programs and/or large-scale data modernization projects, Certifications in AWS, Azure, 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
What You'll Do.
and maintaining data pipelines
cloud-based solutions
and analytics platforms
and maintain robust data pipelines and ETL processes for ingesting
and loading data from diverse sources
Build and optimize data architectures and models to support analytics
and operational needs
Implement and manage CI/CD pipelines for data engineering workflows
Develop and deploy cloud-based solutions
Collaborate with DBAs and application developers to design and integrate data models
and security through rigorous validation
Support data migration
and modernization initiatives
Troubleshoot and resolve issues in production environments
and technical solutions
Stay current with emerging technologies and best practices in data engineering
How You'll Work.
Team & Collaboration
collaborate with cross-functional teams; Collaborate with DBAs and application developers
Communication Scope
communicate complex technical concepts in salient terms to diverse audience types
Full Job Description
**_Job Family_ :** Data Science Consulting ** _Travel Required_ :** Up to 10% **_Clearance Required_ :** Ability to Obtain Public Trust ** _What You Will Do_ :** 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, CloudWatch, 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 DevOps. **_What You Will Need_ :** * ## US Citizenship is required * ## Bachelor’s degree is required * ## Minimum FIVE (5) years of experience in data engineering, software development, or related roles. * ## Proficient experience with: Progr
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