

Droisys
Data Engineer with Deep Expertise in the Palantir
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with deep expertise in Palantir, based in Houston, TX. Contract length is unspecified, with a pay rate of $60/hr W2. Requires 10+ years of data engineering experience, proficiency in PySpark, Python, SQL, and leadership skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
July 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Spark (Apache Spark) #Leadership #Security #Cloud #Business Analysis #Data Pipeline #Python #SQL (Structured Query Language) #Data Engineering #Datasets #Strategy #Agile #Data Quality #Data Governance #Scala #PySpark #Data Modeling #Deployment #"ETL (Extract #Transform #Load)" #Palantir Foundry
Role description
About Company,
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Here's the job details,
Data Engineer with deep expertise in the Palantir
Houston, TX(Onsite
Rate Range $60 hr W2 A All Inc
We are seeking an experienced Lead Data Engineer with deep expertise in the Palantir ecosystem to drive enterprise data platform strategy and delivery. In this Associate Director-level role, you will architect, build, and govern scalable data solutions on Palantir Foundry and AIP. You will work closely with business and technology stakeholders to deliver high-impact data products. The role requires strong technical leadership, hands-on engineering expertise, and a focus on data-driven transformation.
In This Role, You Will
• Lead the design, development, and operationalization of data pipelines and ontologies on Palantir Foundry.
• Own the architecture of datasets, transforms, and applications ensuring scalability, reliability, and security.
• Collaborate with data product owners and business analysts to translate requirements into Foundry-native solutions using PySpark, Contour, and Workshop.
• Establish and enforce data quality, lineage, and governance frameworks within the Palantir ecosystem.
• Evaluate and implement Palantir AIP capabilities, including LLM-powered workflows for enhanced business value.
• Mentor junior and mid-level engineers, conduct design reviews, and define engineering best practices.
• Work with cloud infrastructure teams to optimize deployment topology and resource utilization.
• Act as the primary Palantir SME in stakeholder discussions and provide leadership in Agile delivery processes.
What You Need To Have To Be Considered
• 10+ years of data engineering experience, including 4+ years working hands-on with Palantir Foundry.
• Strong proficiency in PySpark, Python, and SQL within the Foundry environment.
• Deep understanding of Palantir ontologies, object types, transforms, and Workshop application development.
• Experience with Palantir AIP and familiarity with LLM integration patterns is highly desirable.
• Solid knowledge of data modeling, lakehouse architecture, and enterprise data governance practices.
• Proven leadership experience in managing cross-functional teams and delivering complex data programs, along with strong communication skills.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
About Company,
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Here's the job details,
Data Engineer with deep expertise in the Palantir
Houston, TX(Onsite
Rate Range $60 hr W2 A All Inc
We are seeking an experienced Lead Data Engineer with deep expertise in the Palantir ecosystem to drive enterprise data platform strategy and delivery. In this Associate Director-level role, you will architect, build, and govern scalable data solutions on Palantir Foundry and AIP. You will work closely with business and technology stakeholders to deliver high-impact data products. The role requires strong technical leadership, hands-on engineering expertise, and a focus on data-driven transformation.
In This Role, You Will
• Lead the design, development, and operationalization of data pipelines and ontologies on Palantir Foundry.
• Own the architecture of datasets, transforms, and applications ensuring scalability, reliability, and security.
• Collaborate with data product owners and business analysts to translate requirements into Foundry-native solutions using PySpark, Contour, and Workshop.
• Establish and enforce data quality, lineage, and governance frameworks within the Palantir ecosystem.
• Evaluate and implement Palantir AIP capabilities, including LLM-powered workflows for enhanced business value.
• Mentor junior and mid-level engineers, conduct design reviews, and define engineering best practices.
• Work with cloud infrastructure teams to optimize deployment topology and resource utilization.
• Act as the primary Palantir SME in stakeholder discussions and provide leadership in Agile delivery processes.
What You Need To Have To Be Considered
• 10+ years of data engineering experience, including 4+ years working hands-on with Palantir Foundry.
• Strong proficiency in PySpark, Python, and SQL within the Foundry environment.
• Deep understanding of Palantir ontologies, object types, transforms, and Workshop application development.
• Experience with Palantir AIP and familiarity with LLM integration patterns is highly desirable.
• Solid knowledge of data modeling, lakehouse architecture, and enterprise data governance practices.
• Proven leadership experience in managing cross-functional teams and delivering complex data programs, along with strong communication skills.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.






