JOBSEARCHER

Data Engineer, Sr.

WiraaDenver, COL6 LeadOctober 6th, 2026
About The Company: Guidehouse is a leading consulting firm dedicated to delivering innovative solutions to complex challenges faced by government and commercial clients. With a strong focus on data-driven decision-making, Guidehouse combines deep industry expertise with advanced technology capabilities to help clients navigate transformation and achieve measurable outcomes. The company values diversity, inclusion, and a supportive workplace culture, fostering professional growth and collaboration across all levels of the organization.
About The Role: Guidehouse is seeking an experienced Data Engineer to join our Data Science Consulting team, supporting a Department of Defense (DoD) client. This role involves providing expert data engineering and analysis consulting services, working closely with clients, project managers, data scientists, and software developers to design and implement high-quality data solutions. The ideal candidate will possess a strong foundation in data modeling, integration, and software development principles, coupled with excellent communication and problem-solving skills. The position requires an active Secret clearance and involves up to 25% travel.
Qualifications:
  • Active and maintained Secret Federal or DoD security clearance
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
  • Eight (8) or more years of professional experience in Data Science, Data Management, Data Engineering, Technology Consulting, or a related discipline
  • Proficiency in data modeling and data integration techniques
  • Strong software development skills and familiarity with programming languages such as Python, Java, or Scala
  • Experience with data ingestion and ETL processes
  • Knowledge of Agile development methodologies, such as Scrum
  • Preferred qualifications include experience with Palantir products (e.g., Foundry), data visualization tools (e.g., Tableau, Power BI), big data technologies (e.g., Hadoop, Spark), and prior consulting experience
Responsibilities:
  • Collaborate with clients and internal teams to understand data requirements and deliver tailored data engineering solutions
  • Design, develop, and maintain scalable data pipelines and architectures to support analytics and reporting needs
  • Implement data integration processes, including ETL workflows and data ingestion techniques
  • Work closely with data scientists and analysts to optimize data accessibility and usability
  • Ensure data quality, consistency, and security across multiple platforms and environments
  • Participate in Agile development cycles, contributing to sprint planning, reviews, and retrospectives
  • Provide technical guidance and mentorship to junior team members
  • Communicate effectively with stakeholders, translating technical concepts into clear, actionable insights
  • Stay current with emerging data engineering technologies and best practices to continuously improve solutions
Benefits:
  • Comprehensive medical, prescription, dental, and vision insurance coverage
  • Personal and family sick time, along with company-paid holidays
  • Eligibility for discretionary variable incentive bonuses
  • Parental leave and adoption assistance programs 401(k) retirement plan with company matching
  • Basic and supplemental life insurance options
  • Health Savings Account (HSA), flexible spending accounts for dental, vision, and dependent care
  • Short-term and long-term disability coverage
  • Student loan repayment assistance
  • Tuition reimbursement and extensive personal development and learning opportunities
  • Skills development and professional certification support
  • Employee referral program
  • Corporate-sponsored events and community outreach initiatives
  • Emergency back-up childcare program
  • Mobility stipend for eligible employees
Equal Opportunity Guidehouse is an Equal Opportunity Employer. We are committed to creating a diverse environment and are proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other status protected by applicable law.