Data Engineer (IE / Ops Research)

Remote • Posted 21 hours ago • Updated 8 hours ago
Full Time
Remote
USD $102,000.00 - 170,000.00 per year
Fitment

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Job Details

Skills

  • Information Engineering
  • Internet Explorer
  • Research
  • Data Science
  • FOCUS
  • Regulatory Compliance
  • Process Mapping
  • Lean Six Sigma
  • Enterprise Resource Planning
  • MRO
  • Forecasting
  • Scheduling
  • Collaboration
  • Supply Chain Management
  • Analytics
  • Strategic Planning
  • Decision Support
  • Advanced Analytics
  • Predictive Modelling
  • Business Development
  • DoD
  • Security Clearance
  • Database Administration
  • Workflow
  • Performance Monitoring
  • Scripting
  • PySpark
  • Data Engineering
  • Industrial Engineering
  • Operations Research
  • RDBMS
  • Training
  • Insurance
  • Personal Development
  • Community Development
  • SAP BASIS
  • Law
  • LOS
  • Communication
  • Banking
  • Reporting
  • Recruiting

Summary

Job Family:
Data Science Consulting

Travel Required:
Up to 10%

Clearance Required:
Active Secret

What You Will Do:

Focus on engineering, building, and maintaining data pipelines, applications, workflows, and governance capabilities inside the Palantir platform, particularly Code Repositories, Workshop, Slate, and AIP.
  • Build and configure data pipelines using Code Repositories and Pipeline Builder.
  • Build applications and workflows using Workshop and Slate within Palantir.
  • Develop data pipelines involving collecting, transforming, cleaning, and validating data, using Palantir.
  • Develop and maintain governance applications that monitor platform performance, compliance, and operational health.
  • Implement and maintain platform-driven automations and monitoring capabilities.
  • Coordinate with non-technical users to gather requirements.
  • Identify, summarize, and catalog data fidelity issues, and make recommendations to the client on how to resolve or mitigate the issues.
  • Apply industrial engineering methods (time studies, process mapping, Lean/Six Sigma, constraints analysis) to improve depot and sustainment processes.
  • Conduct capacity, throughput, and bottleneck analyses for depot maintenance, MRO, supply chain, and production environments to inform investment, resourcing, and modernization decisions.
  • Integrate data from ERP/MRO/maintenance systems into simulation models to generate actionable insights for forecasting, scheduling, and scenario analysis.
  • Collaborate with cross-functional stakeholders (operations, supply chain, engineering, analytics) to design and test "what-if" scenarios that support strategic planning and infrastructure decisions.
  • Prepare and deliver clear decision-support briefings, visualizations, and recommendations for senior leaders regarding depot performance and modernization impacts.
  • Support adoption of advanced analytics and digital engineering approaches (e.g., predictive modeling, digital twins) to improve depot efficiency and readiness outcomes.
  • Develop trusted relationships with clients at all levels of the organization to obtain a more complete perspective and understanding of our clients' mission, challenges, and goals to deliver tailored solutions.
  • Support business development efforts (e.g., responding to RFPs/RFIs, developing white papers, creating pitch decks and capability briefings, etc.).

What You Will Need:
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
  • Bachelor's degree obtained
  • THREE (3) or more years' experience in hands-on data engineering and/or database management.
  • Experience in one or more areas of the following;Hands-on experience with Foundry Code Repositories, Pipeline Builder, Workshop, Slate, and Machinery, Experience developing data pipelines, UIs, workflows, and automations inside Palantir, Experience supporting performance monitoring and operational tooling within Foundry.
  • Experience in scripting or programming experience (PySpark preferred).
  • Experience detecting data issues affecting the performance of data pipelines and devise techniques for resolving or mitigating them.
  • Ability to support remote, hybrid, and on-site projects in the DC metro area.

What Would Be Nice To Have:
  • SIX (6) years' experience in hands-on data engineering, industrial engineering and/or operations research.
  • Understanding of relational database concepts and structures.
  • Understanding of platform governance practices and observability.
  • Bachelor's degree in a STEM field.

The annual salary range for this position is $102,000.00-$170,000.00. 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 & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX155bfa
  • Position Id: 2b85a409cec75c0a609d9ee308027a44
  • Posted 21 hours ago
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