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B.S. in Computer Science (or equivalent experience) and at least 3 years professional experience working as part of an Agile team using DevOps practices and modern programming languages and frameworks to develop and engineer data-related services and applications to cloud platforms.
$100,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
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4 to 6 years of work experience in Big Data Technologies such as Spark, Databricks or Hadoop. Skills: Data Analyst/ Engineer, Python, SQL, Tableau, Snowflake, Scala, Spark, AWS (S3, DynamoDB , ECS, Fargate), Databricks, API.
$40 - $45 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leverage a broad set of modern technologies - including Python, R, and Spark - to analyze and gain insights within large data sets. Manage, architect, and analyze big data in order to build data driven insights and high impact data models.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions from fraud detection to cancer research, to national intelligence.
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Implement data architecture solutions using modern technologies and platforms, such as cloud-based data warehouses (e.g., Snowflake, Databricks, AWS Redshift, etc. Master of Science degree in Computer Science, Information Systems, Data Science, or a related field.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
$126,610 - $215,270 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. We need a data professional like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Well’s health care data platform infrastructure using Python, Databricks, Spark, Prefect, Kubernetes and other modern data stack technologies. 2+ years of experience with Databricks, Snowflake or other cloud data lake providers.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. What you will be doing The Software Integration Engineer will initially integrate a commercial data science environment that enables publishing custom packages and executing jobs in a firewalled environment.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
$102,600 - $195,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Certification and/or demonstrated competence in the major cloud platforms (AWS, GCP, Azure) and Big Data technologies (eg Hadoop) You’ll have the opportunity to be on the forefront of building a modern enterprise data platform that powers over $60 billion in annual transaction volume for over 100 million active payment cards for one of the largest credit card issuers in the world.
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modern big data jobs Title: science in Mclean, VA
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