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Bachelor's degree in Data Science, Engineering, Computer Science, or a related field. Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
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Supervises and coaches junior data engineering support personnel and provides guidance and direction to third party contract developers to deliver fast and reliable data for advanced analytics solutioning.
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Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Troubleshoot and resolve data engineering issues as they arise.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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B.S./M.S. in Plastics Engineering, Polymer Science, Materials Engineering or Chemical Engineering. Six Sigma green belt and/or statistical data analysis skills and experience.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Business and technical acumen in the following areas: Product Lifecycle Management / Product Data Management, New Product Introductions, Master Data Management / Master Data Governance, Complex Bills of Materials, Variant Config Product & Service management, Engineering Change Management, Product & Services Hierarchy methodologies and tools expertise.
$99,500 - $228,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The ideal candidate will possess a strong background in data engineering, analytics, emerging technologies (AI, ML, NLP, Predictive Analytics), and database administration, with a focus on cloud technologies and team leadership.
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The VP, Data Protection Engineering Leader within the Information Security organization will be responsible for leading and driving an enterprise-wide data protection program to safeguard and secure the organization’s data.
$150,000 - $250,000 a year (bonuses)ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Data Engineering Manager will support our data initiatives and will ensure an optimal data delivery architecture that is consistent throughout ongoing projects. Data Engineering Manager.
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Working onsite with the Project Team to plan, develop, coordinate, and manage onsite construction engineering activities for Industrial projects – primarily Water/Wastewater Treatment plant construction but also factories/production facilities, data centers, focused mostly in the Western Pennsylvania region.
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Ideal candidates for this role will have experience working in Principal to Director-level roles as Software Architect, Data Engineering Leader, Data Engineering Director, Data Engineering Manager, Director of Data Engineering, Principal Data Software Engineer, Backend Developer, Back-end Engineer, Python Software Engineer, Full-stack Engineer, Fullstack Developer.
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The Scientific Knowledge Engineering team, which sits within the Onyx Product Management organization, is responsible for the data modeling, ontology definition and management, vocabulary mapping, and other key metadata activities that ensure Onyx platforms and data assets speak scientific language.
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Prior experience with data engineering tools and frameworks like Airflow, Kafka, Hadoop, Spark, Kubernetes. Hands-on experience in implementing Data Lake/Data Warehouse with technologies like – Databricks, Azure Synapse Analytics, SQL Database, AWS Lake formation.
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The big data space is growing rapidly at Grindr and we’re looking to build an exceptional data engineering team with chops in cutting edge real-time streaming technologies and ambitions to achieve high quality and reliability with TDD, automation, and continuous delivery.
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We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. Alpha Platform Technology – responsible for the common front-office platform, comprising Data Engineering, Python Research and Development Infrastructure and Linux High Performance Compute.
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