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A bachelor's degree in computer science, business or equivalent experience and eight (8) or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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As Data Engineer, you will be responsible for overseeing all aspects of our Azure data processing pipelines, including development, implementation, and testing. This is an excellent opportunity for a talented Azure Data Engineer who is looking to advance their skills and work with cutting-edge technologies in the Information Technology and Finance industry.
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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
$215,050 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data Management and Segmentation: Manage and segment customer data within Salesforce Marketing Cloud for precise targeting and personalized messaging. Strong understanding of CAN-SPAM, GDPR, and other relevant data privacy and compliance regulations.
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You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. This globally-distributed team of senior engineers is responsible for building new analytics and geospatial capabilities in Elasticsearch, profiling and optimizing existing functionalities, analyzing runtime and edge-case behaviors of distributed algorithms, and innovating new ways to store and analyze data in Elasticsearch.
$303,500 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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8+ years of proven track record as a data engineer. 5+ years validated ability in distributed data technologies , Hadoop, Hive, Presto, Spark etc. Experience with Data Governance tools , Collibra and Collaboration tools , JIRA/ Confluence etc.
$229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. PREFERRED EXPERIENCE: Strong experience in 3D-IC design Strong understanding of EDA tools from Synopsys and Cadence Synopsys 3DIC Compiler experience Strong knowledge of scripting Linux/Unix environment, Python, Perl, and TCL Experienced with Verilog, RTL, and UPF for multi-clock domain and low power designs Familiar in automating workflows in a distributed compute environment.
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Key for Business, our patented building access technology, supports Amazon Last Mile in the US.We are actively looking for a passionate Business Intelligence Engineer to join our start-up team to help inform the direction of Key for Business through data, at scale.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. Proven ability to work with a variety of data sources, including structured and unstructured data.
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The Test Engineer will work within the IP team to develop the best methods for implementing tests to meet customer requirements and is responsible for all aspects of the test including test design and setup, equipment control and monitoring, and data collection and analysis.
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Experience with HL7 and using FHIR for health data exchange within various EMR ecosystems. Develop HL7 messaging, API Web Service Integrations, and SSO-based solutions for processing data from our Customers' software systems.
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Cirrus Logic's Mixed Signal Audio Division is seeking talented engineering interns to contribute to the design and characterization of high-performance data converter ICs for both professional and consumer audio markets.
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Leveraging the world’s largest energy efficiency dataset — over 1 trillion data points and counting — our team marries decades of industry experience in design, construction, and maintenance of building energy systems with machine learning and advanced thermodynamic simulation technology to provide the real estate industry’s most effective solution for optimizing building performance and maximizing invested capital.
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data job Title: engineer in Austin, TX
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