[Hiring] Senior Associate, 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.

Qualifications

• Bachelor’s Degree and minimum 2 years of prior relevant experience, or Graduate Degree with 0 to 2 years of prior related experience, or in lieu of a degree, minimum of 6 years of prior related experience
• 2+ years experience with designing and developing data pipelines in PySpark, Spark SQL, SQL or Code Build
• 2+ years experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry
• 2+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python
• 2+ years of experience in Data Integration

Requirements

• 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