lever
Data Engineer
Fantom-corporation
Chantilly, USA
Full-time
Mid Level
Onsite
Discovered 1 weeks ago
Free
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We are seeking a Data Engineer to support the development and optimization of enterprise data pipelines and ETL workflows.
This role is responsible for extracting, transforming, and loading structured and unstructured data from a variety of sources into centralized data platforms.
The ideal candidate has strong experience with Python, SQL, and Palantir or similar ETL platforms, along with a passion for building scalable, high-quality data solutions.
This position offers the opportunity to work on mission-critical data initiatives, collaborating with technical and business stakeholders to deliver reliable, high-performance data products that drive operational and analytical decision-making.
We are seeking a Data Engineer to support the development and optimization of enterprise data pipelines and ETL workflows.
This role is responsible for extracting, transforming, and loading structured and unstructured data from a variety of sources into centralized data platforms.
The ideal candidate has strong experience with Python, SQL, and Palantir or similar ETL platforms, along with a passion for building scalable, high-quality data solutions.
This position offers the opportunity to work on mission-critical data initiatives, collaborating with technical and business stakeholders to deliver reliable, high-performance data products that drive operational and analytical decision-making.
- Design, develop, and maintain scalable ETL pipelines using Python, SQL, and Palantir or similar data integration platforms
- Extract, transform, and load structured and unstructured data from databases, APIs, flat files, and other enterprise data sources
- Develop robust Python scripts and SQL queries to automate data ingestion, transformation, and processing workflows
- Design and implement data models that support analytics, reporting, and operational requirements
- Optimize data structures, queries, and pipelines for performance, scalability, and reliability
- Perform data cleansing, validation, and quality assurance to ensure data accuracy and consistency
- Develop data enrichment and transformation workflows to improve data usability
- Monitor ETL processes and implement automated quality checks and error handling
- Collaborate with engineers, analysts, and business stakeholders to gather requirements and deliver data solutions
- Provide technical guidance and best practices for data engineering tools and platforms, including Palantir
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