Guidehouse

Data Engineer

Guidehouse$89K — $148K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required
  • 5+ years in data engineering or related roles
  • Proficient in programming languages such as Java, Python, and SQL
  • Familiar with CI/CD tools like Git and GitHub
  • Experience with various databases, both relational and NoSQL
  • Hands-on experience with data pipeline design and ETL processes

Responsibilities

  • Design and maintain data pipelines and ETL processes
  • Build and optimize data architectures for analytics needs
  • Implement CI/CD pipelines for data workflows
  • Develop cloud-based solutions using Azure and containerization technologies
  • Collaborate with DBAs and developers to integrate data models and APIs
  • Ensure data quality through validation and monitoring
  • Document data flows and technical solutions for compliance

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Flexible sick time and paid holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Tuition Reimbursement and professional development opportunities
  • Community engagement programs and corporate events
  • Employee Assistance Program including Care.com membership
Full Job Description
Job Family:
Data Science & Analysis

Travel Required:
Up to 10%

Clearance Required:
Ability to Obtain Public Trust

What You Will Do:
Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, AI solutions, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.
  • Design, develop, test and maintain data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources (SQL, R, Python).
  • AI experience with prompt engineering, machine learning, agentic AI and RAG concepts
  • 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 Git.
  • Develop and deploy cloud-based solutions leveraging Azure Functions, and containerization (Docker, Kubernetes).
  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
  • Ensure data quality and integrity through validation, monitoring, and logging.
  • Successfully juggle multiple tasks across different priorities.
  • 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:
  • U.S. Citizenship/ Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST".
  • A bachelor's degree is required.
  • FIVE (5) years of experience in data engineering, software development, or related roles.
  • Experience in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).
  • Experience with Co-Pilot and CodeX.
  • Experience designing and developing data pipelines and ETL processes.
  • Extensive experience with relational and NoSQL databases, such as MySQL, PostgreSQL, SQL Server, and MongoDB, including stored procedure development.
  • Experience working with Databricks.
  • Experience with CI/CD tools and pipelines, such as Gi and, GitHub.
  • Experience operating in Agile development environments.


What Would Be Nice To Have:
  • Experience supporting federal programs and/or large-scale data modernization projects.
  • Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.
  • Ability to work independently in a fast-paced environment.
  • Strong analytical and troubleshooting skills.
  • Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.
  • Familiarity with containerization and orchestration technologies
  • 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 $89,000.00-$148,000.00. 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
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus


About Guidehouse

Guidehouse is a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Founded
2018

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