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Hands-on experience with data platforms and technologies like Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino. Our client is a leading proprietary trading firm headquartered in Chicago seeking a Quantitative Software Engineer to join their Front Office Data Engineering team.
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As an experienced Business Intelligence Developer, you are confident applying data engineering principles to your projects regardless of the desired codebase all the while having an eye for process automation.
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What You Will Be Doing Tech Breakdown 70% Data Engineering 20% Data Analytics 10% Machine Learning Daily Responsibilities 80% Hands On 0% Management Duties 20% Team Collaboration The Offer 10% Bonus Stock Options You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
$145,000 - $175,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role emphasizes a hands-on approach to data engineering within healthcare, focusing on efficient data integration, transformation, and automation using Python and Azure technologies.
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Hands-on experience with data architecture, data modeling, database design and data warehousing. Hands-on practical experience in system design, application development, testing, and operational stability Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline.
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We're a dynamic marketing startup seeking a versatile and hands-on Lead Data Engineer to drive our data operations forward. Lead Data Engineer / Engineering Manager.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Hands-on experience with Scripting (Shell, VB, etc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Work hands-on with prospects and customers to deliver standard, customized and/or strategic solution demonstrations, white boarding, presentations, architecture workshops, and best practices that showcase the functional capabilities, competitive advantages, and business benefits of MuleSoft’s solutions, from demo and proof of concept to design and implementation.
$256,060 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ) Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
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Hands-on experience with Data Engineering, analytics, and AWS Cloud services. Join a hands-on, highly visible team passionate about data and positioned for growth.
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With that, a Principal Engineer @ Advantage Solutions is a top-tier engineer a visionary leader and a hands-on builder with experience making high-level design choices, framing technical standards, and re-enforcing frameworks, patterns, and principles, including tools, software, and engineering execution standards.
$199,500 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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O Governance of overall D&A platform ecosystem with focus on process and solutions catering to Data masking (PII management), data lifecycle management needs. Hands on Experience with continuous integration and DevOps methodologies, tools including GitHub, Jenkins, Nexus.
$189,240 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus.
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2-5 years hands-on industry experience in Data Engineering (or equivalent quantitative job title) Familiarity or hands-on experience with generative AI and large language models, understanding their potential impact on machine learning and ad tech innovations.
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5+ years of hands-on experience designing, implementing, and administering Enterprise MS Teams solutions for collaboration and productivity in an engineering role. This job is responsible for implementing the engineering approach to transition the Bank from legacy Skype for Business to MS Teams on a large enterprise scale for over 200K users.
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hands on data engineering jobs Title: engineer in Chicago, IA, Us
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