Associate Data Engineer: Palantir Foundry & ETL

L3Harris Technologies

Melbourne (FL)

On-site

USD 58,000 - 78,000

Full time

15 hours ago
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Job summary

L3Harris Technologies is seeking an Associate, Application Development in Melbourne, FL. This role focuses on managing enterprise-level data life cycle processes, ETL/ELT pipelines, data quality, and building scalable data solutions using Palantir Foundry to deliver actionable insights for the enterprise.

The successful candidate will work on data consolidation, ontologies, and dashboards for the Unified Data Layer, enabling decision-makers with clean, reliable data across the organization.

Qualifications

  • Pursuing a Bachelor’s degree in Information Technology, Computer Engineering, Computer Science or related field or have completed their Bachelor’s degree within the last 12 months.

Responsibilities

  • Design, build, and maintain robust data pipelines for enterprise data flow.
  • Maintain data pipeline schedules and monitor pipeline health for continuous availability.
  • Create, update, and optimize data connections, datasets, and transformations.
  • Troubleshoot and resolve data sync issues ensuring data integrity.
  • Collaborate with cross-functional teams to uphold data quality standards.

Education

Bachelor’s degree in Information Technology, Computer Engineering, Computer Science or related field

Tools

Snowflake
Python
Pandas
Databricks
JavaScript
Typescript
Palantir Foundry
Azure Data Factory
SSIS
Informatica
Talend
Oracle EBS
SAP ECC/S4
Deltek Costpoint
REST API

Job description

L3Harris Technologies is seeking an Associate, Application Development in Melbourne, FL. This role focuses on managing enterprise-level data life cycle processes, ETL/ELT pipelines, data quality, and building scalable data solutions using Palantir Foundry to deliver actionable insights for the enterprise.

The successful candidate will work on data consolidation, ontologies, and dashboards for the Unified Data Layer, enabling decision-makers with clean, reliable data across the organization.

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