Palantir Data Engineer

Job Family:

Data Engineering & Architecture Consulting

Travel Required:

None

Clearance Required:

Active Secret

What You Will Do:
The Data Engineer will join a dynamic team supporting a global implementation of IT systems at the Department of State. In this role, the candidate will review and support the client’s data policies, processes, and standards to identify strengths and areas for improvement and provide recommendations for the current and future architecture to support data and analytical needs. The candidate will also collect, transform, integrate, and analyze data to identify trends, assess performance, and develop visualizations in support of organizational and mission goals and data-driven decision-making for the client.

Responsibilities may include:

• Develop and maintain data governance documentation, tools, and templates.

• Define data requirements and ensure storage, availability, and coherence of electronically stored information meets the client’s needs.

• Develop data pipelines involving collecting, transforming, cleaning, and validating data from multiple sources, using tools such as Palantir.

• 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.

• Request, document, report, and analyze data, and where applicable, create tools and resources to support data and reporting.

What You Will Need:

• ACTIVE and MAINTAINED SECRET Federal or DoD security clearance.

• Bachelor's degree

• THREE (3) years’ experience in hands-on data engineering and/or database management.

• Experience using Palantir Foundry to clean, transform, and integrate complex datasets into production systems (e.g., Archibus).

• Experience reading and cleaning data from external tables and importing it into relational database tables.

What Would Be Nice To Have:

• SIX (6) years’ experience in hands-on data engineering and/or database management.

• Knowledge of Archibus and/or Kahua.

• Proficiency in querying and joining datasets using SQL.

• Proficiency in data wrangling and analysis using Python. Proficiency developing dashboards using Tableau or Power BI.

The annual salary range for this position is $77,000.00-$129,000.00. 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.

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.