Data Engineering (Palantir, Spark, PySpark, Python)- W2 Role
CLOUDSCOUTS SOFTWARE SOLUTIONS LLC•Frisco, TX
•Hybrid
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- Flexible work from home options available
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
11-50 employees
