Data Engineer

🕒 May 15

🥔 Idaho – Remote

🥔 Idaho – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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Lightcast

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏢 Enterprise

📚 Education

🏛️ Government

Enterprise • Education • Government

Lightcast is a leading authority on labor market data, providing trusted and comprehensive labor market analytics to drive decisions across education, enterprise, and government sectors. With more than 23 years of experience, Lightcast delivers detailed insights into skills, jobs, supply and demand through an extensive data set generated from millions of job postings, career profiles, and other sources across the globe. Their services are designed to help educational institutions, enterprises, and government organizations build future-ready workforces by using AI-enabled and continuously updated data. Lightcast is globally recognized and trusted by industry innovators, and is a vital resource for organizations navigating workforce challenges and demographic changes in the labor market.

📋 Description

• Collect, manage, and transform large-scale raw data from multiple sources into structured, reliable, and usable formats that meet business and analytical requirements. • Design, develop, and maintain data architectures, pipelines, and applications using appropriate tools and frameworks to support scalable data processing and product development. • Build and maintain robust extract, transform, and load (ETL) processes that ensure data accuracy, efficiency, and availability across systems. • Perform root cause analysis to identify data issues, system inefficiencies, or process gaps, and implement improvements that enhance data quality and operational performance. • Work in an agile Scrum environment by contributing to sprint planning, development tasks, testing, and sprint reviews to deliver reliable and scalable data solutions

🎯 Requirements

• Bachelor’s in Computer Science, Mathematics, Statistics, or related field (or equivalent experience) • 2+ years in data engineering, data analysis, or similar roles • Experience with ETL, data warehousing, and scalable data systems. • Solid understanding of statistical methods and data analysis • Strong communication skills with ability to work independently and in teams • Proficiency in Python and SQL; familiarity with Java, C/C++, or similar • Strong software engineering, programming, and QA skills • Experience with Linux/Unix (POSIX systems) and Git • Experience with Docker, Terraform, and AWS (Batch, EMR/Spark, ecosystem tools) • Familiarity with GitLab and Scala