[Hiring] Lead, Data Engineer @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.

Essential Functions:

• Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise
• Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability
• Create, update, and optimize data connections, datasets, and transformations to align with business needs
• Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems
• Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use
• Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications
• Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale
• Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides

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 with designing and developing data pipelines in PySpark, Spark SQL, SQL or Code Build
• Experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry
• Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies
• Hands-on experience with the Snowflake Cloud Data Platform, including data architecture, query optimization, and performance tuning
• Proficiency in Python, PySpark, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation
• Experience with other ETL tools such as Azure Data Factory (ADF), SSIS, Informatica, or Talend is highly desirable
• Familiarity with connecting and extracting data from various ERP applications, including Oracle EBS, SAP ECC/S4, Deltek Costpoint, and more
• Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar

Benefits

• Health and disability insurance
• 401(k) match
• Flexible spending accounts
• EAP
• Education assistance
• Parental leave
• Paid time off
• Company-paid holidays