Data Engineer

Job not on LinkedIn

🕒 July 2

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $50k - $56k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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

Target Corporations Limited

WebsiteLinkedInAll Job Openings

1 - 10 employees

Target Corprations Limited is a creative arm for New Zealand based Chartered Accountant Stephen Simpson and his wife Karen.

📋 Description

• Design, build, and maintain reliable and scalable ETL (extract, transform, load) pipelines to collect, process, and store large volumes of structured and unstructured data from multiple sources. • Develop, optimize, and maintain the data warehouse architecture, ensuring data integrity and availability. • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored data solutions. • Ensure high-quality data by implementing robust data validation, testing, and monitoring processes. • Implement and manage cloud-based data platforms and databases for large-scale data storage and processing. • Develop and maintain data models and database schemas to support analytics, reporting, and machine learning use cases. • Optimize and monitor performance of data pipelines and queries, ensuring timely delivery of data. • Implement and enforce data governance, security, and privacy practices in compliance with industry standards and regulations (e.g., GDPR, CCPA). • Automate data collection, transformation, and delivery processes, enhancing efficiency and minimizing manual intervention. • Document data workflows, architectures, and processes for cross-functional teams and stakeholders.

🎯 Requirements

• 3+ years of experience in data engineering, ETL/ELT development, analytics engineering, or a related technical role. • Strong proficiency in Python, PySpark, and JavaScript. • Advanced SQL skills and hands-on experience with relational and analytical databases such as PostgreSQL, MySQL, or Amazon Redshift. • Practical experience working with AWS cloud services, including AWS Lambda, Glue Jobs, and Workflows. • Experience using version control systems such as Git and working with CI/CD pipelines for automated testing and deployment. • Solid understanding of data warehousing, data modeling, database design, and performance optimization best practices. • Familiarity with data governance, security, privacy, and compliance standards. • Strong problem-solving and analytical skills, with excellent attention to detail. • Clear communication skills and the ability to collaborate effectively with technical and non-technical team members.

🏖️ Benefits

• 200 hours of PTO annually • 40 hours of Paid Retreat Time (PRT) annually • Professional development opportunities • Complimentary access to all Tergar meditation programs • Reduced fees for retreats with Mingyur Rinpoche