Data Engineering Palantir Spark PySpark Python W2 Role
CLOUDSCOUTS SOFTWARE SOLUTIONS LLC, Frisco, TX, United States
Job Title: Technical Lead – Data Engineering (Palantir, Spark, PySpark, Python)
Please dont apply if you dont have PALANTIR experience
Onsite work :One or two days in a month W2 role OPT with 7 years exp is fine
Job Summary
We are looking for a hands-on Technical Lead in Data Engineering to drive the design, development, and delivery of scalable data solutions in a large retail enterprise. This role requires strong expertise in Palantir Foundry, Spark/PySpark, SQL, and Python, along with the ability to lead engineering teams and partner with business stakeholders across supply chain, merchandising, and store operations.
Key Responsibilities
Lead the design and implementation of scalable data platforms and pipelines using PySpark, Spark, and Python
Drive adoption and best practices for Palantir Foundry (data pipelines, ontology, workflows, and operational applications)
Architect and optimize high-performance data processing solutions for large-scale datasets
Provide technical leadership and mentorship to data engineers, ensuring code quality and best practices
Collaborate with cross-functional teams (business, analytics, data science) to translate requirements into scalable solutions
Design robust data models, ETL/ELT frameworks, and data integration strategies
Ensure data quality, governance, security, and compliance across enterprise data platforms
Lead performance tuning, troubleshooting, and optimization of data pipelines
Drive CI/CD implementation, code reviews, and release management
Stay current with emerging data engineering technologies and recommend improvements
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
8+ years of experience in data engineering, with at least 2–3 years in a technical leadership role
Strong hands-on experience with:
Python & PySpark
Apache Spark
Advanced SQL
Experience with Palantir Foundry or similar modern data platforms
Deep understanding of data engineering principles (ETL/ELT, data modeling, distributed systems)
Experience designing and managing large-scale data architectures
Strong leadership, communication, and stakeholder management skills
Preferred Qualifications
Experience in retail domain (supply chain, inventory, merchandising, store analytics)
Experience with cloud platforms (Azure, AWS, or GCP)
Familiarity with orchestration tools (Airflow, Azure Data Factory, etc.)
Experience with real-time/streaming data pipelines
Exposure to DevSecOps practices
Key Skills
Technical Leadership
Data Engineering Architecture
PySpark & Spark
Python Programming
SQL Optimization
Palantir Foundry
Data Modeling & Warehousing
CI/CD & DevOps
Flexible work from home options available.
Please dont apply if you dont have PALANTIR experience
Onsite work :One or two days in a month W2 role OPT with 7 years exp is fine
Job Summary
We are looking for a hands-on Technical Lead in Data Engineering to drive the design, development, and delivery of scalable data solutions in a large retail enterprise. This role requires strong expertise in Palantir Foundry, Spark/PySpark, SQL, and Python, along with the ability to lead engineering teams and partner with business stakeholders across supply chain, merchandising, and store operations.
Key Responsibilities
Lead the design and implementation of scalable data platforms and pipelines using PySpark, Spark, and Python
Drive adoption and best practices for Palantir Foundry (data pipelines, ontology, workflows, and operational applications)
Architect and optimize high-performance data processing solutions for large-scale datasets
Provide technical leadership and mentorship to data engineers, ensuring code quality and best practices
Collaborate with cross-functional teams (business, analytics, data science) to translate requirements into scalable solutions
Design robust data models, ETL/ELT frameworks, and data integration strategies
Ensure data quality, governance, security, and compliance across enterprise data platforms
Lead performance tuning, troubleshooting, and optimization of data pipelines
Drive CI/CD implementation, code reviews, and release management
Stay current with emerging data engineering technologies and recommend improvements
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
8+ years of experience in data engineering, with at least 2–3 years in a technical leadership role
Strong hands-on experience with:
Python & PySpark
Apache Spark
Advanced SQL
Experience with Palantir Foundry or similar modern data platforms
Deep understanding of data engineering principles (ETL/ELT, data modeling, distributed systems)
Experience designing and managing large-scale data architectures
Strong leadership, communication, and stakeholder management skills
Preferred Qualifications
Experience in retail domain (supply chain, inventory, merchandising, store analytics)
Experience with cloud platforms (Azure, AWS, or GCP)
Familiarity with orchestration tools (Airflow, Azure Data Factory, etc.)
Experience with real-time/streaming data pipelines
Exposure to DevSecOps practices
Key Skills
Technical Leadership
Data Engineering Architecture
PySpark & Spark
Python Programming
SQL Optimization
Palantir Foundry
Data Modeling & Warehousing
CI/CD & DevOps
Flexible work from home options available.