Senior Data Engineer, Real Time + Batch Data Processing (REMOTE)
Senior Data Engineer working on real time streaming + batch data processing FULLY REMOTE Pay: $150k-$220k base + bonus + stock We are a publicly traded, leading industrial technology / IoT (Internet of Things) company with roots in North America and Europe, along with a team of 12k+ employees. Our mission is to enable a greener, healthier planet. We're on a quest to become the #1 company in our sector and are looking for someone to work with cutting edge tech and solve complex problems. Position Overview We are seeking a skilled Senior Data Engineer to join our team, responsible for designing, building, and maintaining robust data pipelines and architectures. The ideal candidate will leverage their expertise in cloud technologies and modern data processing tools to support our data-driven initiatives, enhance data quality, and drive analytics that influence business strategies. Key Responsibilities • Design, develop, and maintain scalable data pipelines and ETL processes. • Collaborate with data scientists and analysts to understand data needs and deliver appropriate solutions. • Implement data models and architecture to support analytics and reporting. • Optimize data storage and processing performance using cloud technologies like Azure and Databricks. • Utilize containerization tools such as Docker and orchestration frameworks like Kubernetes for managing data workflows. • Ensure data integrity and security across all data solutions. • Stay updated with emerging technologies and trends in data engineering, AI/ML, and IoT to improve operational efficiency. Qualifications • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred. • 5+ years of experience in data engineering or a related field. • Real Time strearming (Flink) + Batch Data Processing experience • Proficiency in programming languages such as Python or Java, • Experience in AI/ML frameworks like Tensorflow and PyTorch is a bonus. • Strong experience with big data processing tools like SPARK and streaming technologies like Kafka. • Hands-on experience with cloud platforms, particularly Azure. • Familiarity with IoT data processing and architecture is a bonus. • Excellent problem-solving skills and ability to work in a fast-paced environment. Benefits • FULLY REMOTE • HUGE room for growth • QUICK interview process • Competitive pay + bonus + Generous benefits (Health, Dental, Vision, Life, AD&D, HSA Accounts) • 401k match • Stock purchase Plans • Healthy work/life balance Apply tot his job