Data Engineer

Guidehouse•Arlington, VA

14h•$113,000 - $188,000

About The Position

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.

Requirements

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 development; 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
Strong analytical, troubleshooting, and communication skills, including communicate complex technical concepts in salient terms to diverse audience types

Nice To Haves

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

Responsibilities

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.

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend