Application Developer Intern

Job Title: Application Development Intern 

Job Schedule: 9/80

Job Code: 41951

Job Location: Rochester, NY

Job 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, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and 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, and 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:

• To be eligible, applicants must be pursuing a Bachelor’s degree in Information Technology, Computer Engineering, Computer Science or related field

Preferred Additional Skills:

• Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies.
• Experience with Snowflake cloud data platform including but not limited to hands-on experience with Snowflake
• Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
• Experience in ETL tools such as Palantir Foundry, ADF (Azure Data Factory), SSIS, Informatica or Talend is preferable
• Working knowledge to connect and extract data from various ERP applications such as Oracle EBS, SAP ECC/S4, Deltek Costpoint, REST API, and more.
• 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 Repo, PySpark and Spark SQL, and data build/sync schedule deployment in Palantir
• Experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
• Data Integration experience in Palantir or similar data integration tools.

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is [$29.00 MIN - $53.50 MAX]. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is [$24.50 MIN - $46.50 MAX]. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including relocation stipend, 401(k), EAP, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.