Data Engineer

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: 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

What Would Be 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

#LI-DNI

The annual salary range for this position is $113,000.00-$188,000.00. 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.

What We Offer:

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 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 & Certifi