L3Harris Technologies · 9 hours ago
Senior Associate, Data Engineer
L3Harris Technologies is a leader in defense technology, dedicated to delivering end-to-end technology solutions. The Data Engineer role involves managing enterprise-level data life cycle processes, overseeing data pipelines, and ensuring data quality to empower decision-makers with reliable data.
CommercialInformation TechnologyNational Security
Responsibilities
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
Qualification
Required
Bachelor's Degree and minimum 2 years of prior relevant experience. Graduate Degree and a minimum of 0 to 2 years of prior related experience. 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
Preferred
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
Company
L3Harris Technologies
L3Harris Technologies provides platform management system solutions for armed forces.
Funding
Current Stage
Public CompanyTotal Funding
$2.25B2024-03-27Post Ipo Debt· $2.25B
1978-01-13IPO
Leadership Team
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