Job Family:
Data Science Consulting
Travel Required:
Clearance Required:
What You Will Do
Support Palantir Foundry Application Development:
Work closely with Subject Matter Experts (SMEs) to design and develop full stack application using Palantir Foundry’s platform.Work on both frontend and backend components, ensuring seamless integration and functionality.Improve on application User Interface and visualization design.Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate).Developing interactive workflow UIs.Develop ability to build/ access data versions within the tool as necessary to enable analytics.Develop writeback functionality into the tool as needed.Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI as necessary.Maintain applications as usage grows and requirements changesSupport Data Integration and Management:
Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data management & development platform.Collaborate with Data Engineering Team to understand the ontology (data model) and data pipelines supporting the applications.Support End to End data pipeline development – responsible for using Python and Pyspark to perform ETL and derive new datasets necessary for business applications.Support designing and building for high-scale data intensive workflowsSupport Testing and Quality Assurance
Perform data validations and analysis, use PyTest to create and implement unit test for one time or automated test embedded within a pipeline.Implement Foundry Expectations within Foundry Health checks to implement automated validations for build freshness, data freshness, primary key, schema check, but also more complex data validation that should require a build to be aborted or a warning notification. Monitor and debug critical issues such as data staleness or data quality.Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality.Debug and resolve issues reported by users or identified through testing.What You Will Need
Requires a University Degree and minimum of THREE (3) years of prior relevant experience; some roles may require graduate-level education Master’s or Doctorate degree (Relevant experience may be substituted for formal education or advanced degree)Experience in Palantir Foundry expertise, supporting full stack development servicesExperience in developing data pipelines using Python/PySparkExperience in advance data science or analytics expertise, using a variety of technical platforms and open-source programming technologiesAbility to design and deliver solutions with autonomy, working collaboratively as part of a teamStrong communication/presentation skills and ability to explain technical topics to non-technical audiencesStrong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forwardWhat Would Be Nice to Have
Master’s Degree in Data Engineering, Business Analytics, Data Science, Statistics, or Computer ScienceDemonstrated work experience supporting Federal Civilian, State and Local Government, or Energy Provider clientsAbility to support business development including RFP/RFQ/RFI responses involving data science / analytics / data engineeringThe annual salary range for this position is $109,100.00-$163,700.00. 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 Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, 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 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
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.