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The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs.
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Reporting to Application Development Manager, the Big Data Software Engineer IV will work on a dedicated team of engineers developing, enhancing, and maintaining Availity's high transactional Provider Data Management platform.
Full-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Nice to have:B.S., M.S., or PhD in a related fieldPublications at conferencesExpertise with either big data infrastructure (e.g. Hadoop/Spark/Flink/Kafka/Airflow/Presto) or with using big data technologies for data processing, ETL, reporting.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaborate with a team of supportive and passionate software engineers, product, infrastructure and other internal partners to tackle challenging problems, execute on development projects that build, enhance and customize our high-performance data ingest, partitioning, graph and edge building systems.
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Create tools and frameworks that enhance data processing, information retrieval, governance, and data quality in a cost-effective and user-friendly manner. This encompasses everything from designing a cloud infrastructure, data and analytics tools and frameworks, data collection and processing technologies, ensuring security, upholding governance, maintaining data quality, and enabling data access for all.
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Principal Big Data Software Engineer with an active Top-Secret Clearance. Big Data applications using PySpark or Scala-Spark on Hadoop, Hive and/or Kafka, HBase, MongoDB.
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Experience with Hadoop and big data projects; RS21 is a rapidly growing data science company that uses artificial intelligence, design, data engineering, and modern software development methods to empower organizations to make data-driven decisions that positively impact the world.
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This team will develop new software products integrating with the global connectivity data platform and different functional systems of the Detroit Connect solution: A Customer Portal, Vehicle Communication Data Hub, Big Data Analytics Engine, Virtual Vehicle ecosystem and a Subscription Management System.
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Develops software source code or new software for commercially released Big Data IoT systems. Develops, maintains, tests and evaluates big data solutions based on Big Data platforms such as Hadoop, MapReduce, HIVE, HBase.
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Software Engineer - Java, Frankfurt, Microservices, Spring Boot, Kafka, Kubernetes, Big Data, €70,000-€90,000. Keywords: Java, software, development, Microservices, FinTech, GIT, Kubernetes, agile, Big Data, REST, SOAP.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Software Engineer (Big Data), Ai & Data Platforms. Were looking for a Big Data Engineer with strong understanding of big data and ML platforms, passionate about building and managing cloud infrastructure and can demonstrate to Apples high standards.
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Principal Big Data Software Engineer - Streaming Infrastructure. As a Principal Big Data Software Engineer, you will be a necessary participant in helping our Data Infrastructure team shape the future of Roblox.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Included in this are data platforms, enterprise architecture, DevOps, cloud computing, and infrastructure. Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area.
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The GBI Big Data Engineering team is responsible for building and managing data platforms at scale on Cloud, that help Apple process, store and access petabytes of data. Additionally, you will be deploying cloud stacks supporting big data and AI/ML platforms, locating production errors and issues.
ExpandApply NowActive JobUpdated 4 days ago
big data jobs Title: big data software engineer
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With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.