$106.10K - $127.40K/yr
Contractor
Posted 8 hours ago
Job description
Palantir Data Engineer
We are seeking a highly skilled Palantir Data Engineer to design, develop, and optimize data solutions using Palantir Foundry, ensuring seamless data integration, transformation, and analysis. The ideal candidate will have experience with Palantir's platforms, a strong background in data engineering, and expertise in implementing robust and scalable data workflows.
Key Responsibilities:
Data Integration Transformation:
- Design and implement ETL pipelines in Palantir Foundry to handle diverse data sources, ensuring high data quality and consistency.
- Optimize and enhance data workflows to improve performance and scalability.
- Develop data models, ontology, and schemas that align with business requirements.
- Implement robust data governance and lineage mechanisms within the Palantir ecosystem.
- Monitor data pipelines, troubleshoot issues, and ensure uninterrupted data operations.
- Maintain documentation for workflows, schemas, and integration processes.
- Drive innovation by leveraging the latest Palantir Foundry features and industry best practices.
- Automate repetitive processes to enhance operational efficiency
Required Skills & Experience:
Proficiency in Palantir Foundry: Hands-on experience in developing and managing pipelines, workflows, and applications on the Palantir Foundry platform.
Data Engineering Expertise:
- Strong programming skills in Python, Java, or Scala for data manipulation and pipeline creation.
- Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or Oracle).
- Experience in data modeling, ontology design, and implementing data governance.
Experience with APIs for data integration
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Software Engineer?
A: To succeed as a Data Software Engineer, key technical skills include proficiency in programming languages such as Python, Java, or C++, as well as expertise in data structures, algorithms, and software development methodologies like Agile. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Software Engineers often work with cross-functional teams and stakeholders to design, develop, and deploy data-driven solutions. By combining technical expertise with strong soft skills, Data Software Engineers can effectively drive business outcomes, innovate, and adapt to the rapidly evolving landscape of data technology.
Q: What is the career path for a Data Software Engineer?
A: A Data Software Engineer's typical career progression involves starting as a Junior Software Engineer, where they focus on developing and maintaining data-driven software applications, and gradually advancing to roles such as Senior Software Engineer, Technical Lead, or Data Architect, where they oversee large-scale data systems and lead cross-functional teams. Key opportunities for skill development include learning programming languages like Python, SQL, and Java, as well as data science tools like Hadoop, Spark, and machine learning frameworks like TensorFlow and PyTorch. Long-term, Data Software Engineers may pursue leadership roles, such as Director of Engineering or Chief Technology Officer, or transition into related fields like data science, product management, or entrepreneurship.
