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Sr. Data Engineer
Qeexo
Data Science
Pittsburgh, PA, USA
Posted on Apr 11, 2025
Sr. Data Engineer TDK SensEI Pittsburgh, PA
**This position is for our Pittsburgh, PA office - only apply if you are based there or willing to relocate**
At TDK SensEI, we are transforming how industrial customers utilize and interact with sensor data. We specialize in developing advanced AI solutions capable of running directly on edge devices. By processing data locally, TDK SensEI enhances real-time decision-making, privacy, security, and cost efficiency. Our offerings include automated machine learning tools, AI-powered condition-based monitoring systems, and various sensor devices optimized for low latency and power consumption. Collaborating with leading global companies, we empower teams to effortlessly devise and implement machine learning solutions for industrial applications, all without the need for coding.
We are seeking a Senior Data Engineer to join our team and play a pivotal role in designing, implementing, and maintaining scalable data solutions. As a Senior Data Engineer, you will be responsible for building and optimizing our data pipelines and architecture, ensuring the seamless flow of data across our systems. You will work closely with Machine Learning Engineers and Software Engineers to support their data needs and contribute to the development of innovative data-driven solutions.
As a Senior Data Engineer, your responsibilities will include:
· Design, develop, and maintain scalable data pipelines and architectures
· Collaborate with Machine Learning Engineers and Software Engineers to understand data requirements and deliver solutions
· Implement data governance and security best practices to ensure data integrity and compliance
· Optimize data workflows for performance and cost-efficiency
· Monitor and troubleshoot data pipeline issues to ensure high availability and reliability
· Stay up-to-date with emerging data engineering technologies and best practices
Skills & Requirements:
· Proven experience as a Data Engineer with at least 5 years industry experience, with a strong background in building and maintaining data infrastructure
· Expert coding ability and fluency with Python or other OOP language
· Strong understanding of data modeling, ETL/ELT processes, and data lake & warehouse concepts
· Experience with big data technologies such as Apache Spark, Kafka
· Familiarity with data governance, security, and compliance best practices
· Excellent problem-solving skills and the ability to work independently and collaboratively with cross-functional teams
· US Work Authorization required
Bonus Qualifications
· Extensive experience with AWS services, including but not limited to S3, Lambda, IoT Core, and Greengrass
· Experience with AWS SageMaker and integration to data systems
· Experience with CI/CD pipelines and DevOps practices
· Experience with Docker and containerization
· Experience with SQL and NoSQL databases