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Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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Experience with provisioning virtual resources and building infrastructures in AWS, Google Cloud, Microsoft Azure, and Digital Ocean commercial clouds. Exposure to serverless provisioning such as AWS Lamda or Docker containers with Kubernetes.
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Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence. 3+ years of experience with a public cloud (e.g., Microsoft Azure, AWS, Google Cloud.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - You will develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL.
$165,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer. Sr. Data Engineer. - 4+ years of data warehousing experience (Redshift or Snowflake) - 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Experience in modern programming languages like JavaScript, Typescript, Node, Java, Python, etc. Experience with cloud technologies (AWS, Azure) a plus7. Full Stack Software EngineerTysons Corner, VA.TS/SCI w/PolyJOB DESCRIPTION:The Software Engineer should have experience with full-stack development.
$150,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will be responsible for building (leading) end-to-end data pipelines using tools like dbt, airflow, Snowflake, and other modern data stack components. Collaborate with DevOps and infrastructure teams to deploy and manage data platforms and services in cloud environments (AWS & Snowflake.
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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.
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The Data Engineer will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Expert in implementing modern data and infrastructure design patterns, stream processing, building data pipelines, etc. Deep knowledge and experience with modern database technologies, platforms, and solutions including, but not limited to S3, Snowflake, Python, Postgres, RDS, NoSql databases, MongoDB, DynamoDB, etc.
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4+ years of experience building data pipelines with modern tools such as Data Bricks, ADF, Logic Apps, etc. Experience using Databricks, AWS, Azure, GCP, Python. The Director, Data Engineer will be responsible for developing, executing, and implementing data strategy, including delivering solutions involving data integration, data governance and performance optimization.
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Our solutions leverage the latest AWS services for data streaming, transformation, storage, visualization and modeling including Amazon Generative AI based platforms and services, in addition to industry leading 3P software.
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7+ years of experience implementing modern data solutions using Cloud-based solutions and technologies - AWS developer environment including, but not limited to, Lambda, API Gateway, DynamoDB, S3, Cloudwatch.
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Work you'll do The Data Engineer will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles.
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You will join the Workflow Management Developer Experience team in Big Data scope to support Migration from Hadoop / Oozie (Spark, Perl, etc) legacy setup to a modern platform (AWS / S3 / Snowflake / Airflow / Spark / DBT.
$165,400 - $181,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
modern aws jobs Title: data engineer in Mclean, VA
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