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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Proficiency in data engineering tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL. Work with data engineering platforms and tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL.
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The Wing delivers unparalleled capability to the Air Force through a combination of world class infrastructure and expertise of its diverse workforce of military, civilian and contractor personnel encompassing 75 occupational specialties including science and engineering, occupational health and safety, medical professions, technicians, educators, and business operations and support.
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Master's degree in a technical field (e.g. computer science, math, engineering Understanding of big data and real time streaming analytics processing architecture and ecosystems Experience with data analysis and data visualization tools Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js) Relevant technology or platform certification (AWS, Microsoft, etc.
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Bring a system-oriented and software engineering mindset to the Data Engineering practice. Have at least four years of experience working with data and two years of experience in Software Engineering or a related field.
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Assist Operations with process control systems by troubleshooting and propose projects to improve performance, including instrumentation selection, data networks, Wonderware HMI's, PLC operations, instrumentation and other electrical systems and recommend cost effective solutions and repairs.
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In order to do this we leverage a diverse set of tools and skill-sets in a dynamic, fast-paced, cohesive engineering team with opportunities to delve deeper into multiple areas of technical expertise - architecture, data security, full-stack web applications, developer operations and much more.
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Familiarity with modern cloud platforms (e.g., AWS, GCP, Azure) and their data engineering services. Documentation & Best Practices: Develop and maintain comprehensive documentation and follow best practices for data engineering and architecture.
$110,000 - $140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, build, and maintain an efficient and flexible data ingestion framework that allows internal product, engineering, and operations teams to contribute data sources (new or updated) into GCP and BigQuery.
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Participate in the overall strategic direction of the data engineering technology stack. Stay abreast of data engineering technical trends and emerging approaches. Big data pipeline engineering and optimization.
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Create D drawing using design packages such as AutoCAD. Capture D point cloud data using CMM equipment such as Faro Quantum or Focus M. Perform post-processing of D point cloud data to be used for design engineering functions.
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Extensive hands-on experience with security pillars such as Identity and Access Management, Data privacy, key management, encryption, security policies, Fraud mitigation, Application security. Experience with information security concepts, such as Identity and Access Management, Application security, data security, and cross site scripting.
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Experience with preparing SWPPP and SPCC Plans, annual EPCRA Tier II and TRI reporting, Chemical Data Reporting under TSCA, general and individual NPDES permitting for stormwater discharges, NPDES permitting for industrial discharges, and hazardous waste management.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field. We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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PulsePoint Data Engineering team plays a key role in our technology company that's experiencing exponential growth. 5+ years of data engineering experience. Passion for engineering and computer science around data.
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data engineering jobs Title: administrator Company: Dice in Pittsburgh, PA
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