Data Engineer

Job not on LinkedIn

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $150k - $180k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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Intel Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

Intel Corporation is a leading technology company that specializes in manufacturing and selling a variety of hardware and software products. Its offerings include processors such as Intel Core, Intel Xeon, and Intel Atom, as well as discrete graphics, AI accelerators, silicon photonics, and embedded solutions. Intel serves various industries with its networking, storage solutions, and developer resources, focusing heavily on AI and performance-driven technologies. The company plays a significant role in advancing computing experiences across PCs, data centers, cloud, edge, and 5G networks. Intel is committed to delivering high performance and secure technologies while fostering innovation through its expansive partner ecosystem and development tools.

📋 Description

• Design, build, and maintain data pipelines (ETL/ELT) that extract, transform, and load data from source systems into target stores. • Partner with Product Management and downstream teams to define data requirements and data quality expectations. • Work with Engineering to define pipeline architecture for batch and real-time data processing. • Write and optimize SQL queries and scripts (Python or similar) to support data transformation and validation. • Monitor pipeline health, troubleshoot failures, and ensure data availability and reliability. • Support integration of data sources into cloud data warehouses or data lakes. • Help define future data architecture to support increased volume, new data sources, and analytics use cases. • Document data flows, schemas, and pipeline logic for team and stakeholder reference.

🎯 Requirements

• Associate's degree, or equivalent professional experience. • 2+ years of IT technical experience, including exposure to data pipeline development, SQL, or scripting. • Ability to obtain and maintain a U.S. Government Public Trust or Security Clearance. • Experience with data pipeline orchestration tools such as Airflow, dbt, or similar. • Familiarity with distributed data processing frameworks, such as Spark or Kafka. • Experience with cloud data warehouses or lakes, such as Snowflake, BigQuery, Redshift, or S3-based architectures. • Proficiency in Python for data engineering tasks. • Understanding of data modeling and data quality best practices.

🏖️ Benefits

• Equal opportunity employer