Data Engineer

Job not on LinkedIn

September 10

🎸 Tennessee – Remote

Although this job is listed in Tennessee, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Cummins Inc.

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Energy • Transport • Hardware

Cummins Inc. is a global power technology leader that designs, manufactures, and distributes a variety of engines and power systems solutions. They offer products that range from diesel and natural gas engines to hybrid and electric power systems, as well as components like turbochargers, fuel systems, and emissions solutions. With a strong emphasis on innovation, Cummins aims to reduce emissions and improve fuel efficiency. The company is dedicated to helping industries navigate the transition to cleaner energy through integrated power solutions suitable for diverse applications such as on-highway, marine, mining, and construction. Additionally, Cummins provides services including remote monitoring, diagnostics, and aftermarket support, reinforcing its commitment to sustainability and customer service excellence.

10,000+ employees

Founded 1919

⚡ Energy

🚗 Transport

🔧 Hardware

💰 $75M Grant on 2024-07

📋 Description

• Supports, develops and maintains a data and analytics platform • Effectively and efficiently process, store and make data available to analysts and other consumers • Work with Business and IT teams to understand requirements and enable agile data delivery at scale • Implement and automate deployment of distributed systems for ingesting and transforming data from relational, event-based, and unstructured sources • Implement methods to continuously monitor and troubleshoot data quality and data integrity issues • Implement data governance processes and methods for managing metadata, access, and retention • Develop reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms using ETL/ELT tools or scripting languages • Develop physical data models and implement data storage architectures per design guidelines • Analyze complex data elements, system data flow, dependencies, and relationships to contribute to conceptual, physical and logical data models • Participate in testing and troubleshooting of data pipelines • Develop and operate large-scale data storage and processing solutions using distributed and cloud-based platforms (Data Lakes, Hadoop, NoSQL databases) • Use agile development technologies (DevOps, Scrum, Kanban) and continuous improvement for data-driven applications

🎯 Requirements

• College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required • Relevant experience preferred (temporary student employment, intern, co-op, or extracurricular team activities) • Exposure to Big Data open source technologies • Experience with SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka (or equivalent) • Proficiency with SQL query language • Clustered compute cloud-based implementation experience • Familiarity developing applications requiring large file movement for a Cloud-based environment • Experience with ETL/ELT tools or scripting languages for data ingestion and transformation • Experience developing physical data models and implementing data storage architectures • Experience with data governance, metadata management, access and retention processes • Experience operating large scale data storage and processing solutions (Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, or equivalents) • Exposure to Agile software development (DevOps, Scrum, Kanban) • Strong programming, testing, and build automation skills • Experience in data quality monitoring and troubleshooting • Problem solving, communication, collaboration, and customer focus competencies • May require licensing for compliance with export controls or sanctions regulations