Guidehouse

Data Science Consulting

DataEngineer

$113–188k Arlington, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Data Science Consulting
Problems you'll solve

analytical skills; troubleshooting skills

Eligibility Requirements

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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