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As a CoBank Director of Software Engineering, you'll work on everything from customer-facing web applications to highly scalable distributed data platforms using cutting-edge open-source frameworks, to highly available RESTful microservices, to back-end Java/python-based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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Software engineering in Big Data experience. Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group.
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Experience with ML frameworks such as scikit-learn and Big Data feature engineering for ML. Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML.
$147,200 - $229,925 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key Qualifications: 7+ years experience building enterprise level applications on large-scale distributed systems Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera In-depth understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Expertise in programming and developing high quality software.
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Key Qualifications: 3+ years of experience building enterprise level applications on large-scale distributed systems Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Programming experience in building high quality software.
$138,900 - $208,300 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This role involves applying software engineering principles to automate data infrastructure operations, encompassing the deployment of Azure Data Infrastructure and Services (Infrastructure-As-Code - IaC), administration of the enterprise data lake utilizing the Snowflake data platform, and managing security protocols.
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We are currently seeking an experienced Machine Learning Engineer/Software Developer to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Work with system engineers to decompose item requirements into high-level and low-level software requirements in compliance with DO-178C. Nice to have: Experience in flight control software or a related field Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science, or related degree ML/Data Science Proficiency with C/C.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI.Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Qualifications:Bachelor's degree in Computer Science, Engineering, or a related field3+ years of experience in an ETL development roleProficient knowledge of Databricks, Python, and SQLExperience with Azure, Snowflake, Azure Data Factory, and DBT is a plusStrong analytical and problem-solving skillsExcellent communication skillsAzure Data Bricks, Azure Data Factory, Azure Datalake, Python, SQL, PowerBI. Strong databasee background with Oracle and SQL Server are also important.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. We are seeking an accomplished Principal Consultant with specialized expertise in delivering strategic Databricks and data engineering solutions for our clients at Lovelytics.
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Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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Our Lead Engineering Technicians will typically report to a Project Manager or senior level team member. utilizing Computer Aided Design and Drafting (CADD) software such as MicroStation GEOPAK, Open Roads Designer and/or Autodesk’s AutoCAD and Civil 3D. Calculate dimensions, square footage, profiles of roadway and utilities, material quantities, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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2+ years experience in at least one or more of the following areas: Diagnostic Imaging Post-Processing to include 3D reconstructions and analysis, Radiology Data migration and curation, Augmented Reality/Virtual Reality program development and modeling, CAD and 3D printing, computer programming, and/or big data/machine learning/artificial intelligence.
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Director, Software Engineering - Quantitative Risk Management Applications SALARY: $k - $k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions.
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big data software engineering jobs Title: account manager
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