Data Engineer

Overview

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 (Cosmos
  
  DB, 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.

• ship 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, Mongo
  
  DB);
  Data modeling, stored procedures, and API development (RESTful, SOAP)
• Demonstrated experience with:
  Cloud platforms: AWS (S3, Lambda, ECS, SQS), Azure (Cosmos
  
  DB, Functions);
  Containerization and orchestration (Docker, Kubernetes); CI/CD tools (Jenkins, Maven, Git, Bitbucket, Git Hub);
  Monitoring and logging tools (Splunk, Cloud Watch, 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

• 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

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 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 Pay Down
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emer…