Lead, Data Engineer
$127k - $236.5kFull-time
L3HHCM20
Role Description
L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes:
- Overseeing data ETL/ELT pipelines
- Ensuring adherence to data standards
- Maintaining data frameworks
- Conducting data cleansing
- Orchestrating data pipelines
- Ensuring data consolidation
The selected individual will play a pivotal role in:
- Maintaining ontologies
- Building scalable data solutions
- Developing dashboards to provide actionable insights for the enterprise within Palantir Foundry
This position will support the company’s modern data platform, Unified Data Layer, focusing on:
- Data pipeline development and maintenance
- Data platform design
- Documentation
- User training
The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.
Qualifications
- Bachelor’s Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience. In lieu of degree, minimum 13 years of prior Palantir experience.
- Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
- Minimum of 4 years of experience in Data Integration.
Requirements
- Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration.
- Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst.
- Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies.
- Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages.
- Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar.
- Hands-on experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL.
- Familiarity with SDLC processes and architecture review or data governance board processes.
Benefits
- Health and disability insurance
- 401(k) match
- Flexible spending accounts
- EAP
- Education assistance
- Parental leave
- Paid time off
- Company-paid holidays
Vacancy posted 9 hours ago
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