Data Engineer

Job not on LinkedIn

🕒 5 days ago

🧀 Wisconsin – Remote

🧀 Wisconsin – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

URUS Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

🌾 Agriculture

🤝 B2B

🧬 Biotechnology

Agriculture • B2B • Biotechnology

URUS Group is a holding company formed in 2018 with a focus on the global agriculture industry, specifically serving dairy and beef producers. It encompasses several companies, including AgSource, Alta Genetics, and GENEX, providing genetic and farm management solutions aimed at improving herd quality and productivity. URUS is committed to sustainability and the development of innovative technologies that enhance the profitability of commercial livestock operations worldwide.

📋 Description

• Design, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL • Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads • Troubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency • Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing platform modernization • Implement data quality checks, validation, cleansing, and data warehousing best practices across data pipelines and reporting environments • Integrate Databricks with enterprise applications, databases, and other data sources • Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable technical solutions • Contribute to continuous improvement through emerging data engineering practices, AI-assisted development tools, documentation, and ongoing learning

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field • Strong hands-on experience with Databricks, including Python, Spark, and Delta Lake • Strong SQL Server and data warehousing experience, including T-SQL • Experience with SSIS and SSRS • Experience with Microsoft Azure • Experience using AI-assisted development tools as part of the engineering workflow • Strong analytical, problem-solving, communication, and collaboration skills