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GDIA Data Engineer: We are looking for a data engineer in the GDI&A Customer 360. Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Working across one or more of our main subject areas - research, marketing, engineering frameworks - the Data Engineer role is right for you if you're a "hands-on" coder who can build and cleanse large datasets in order to report out actionable insights.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Pipeline Engineer will be a critical part of a fast-moving Marine Corps product development team. Our client is seeking a Data Pipeline Engineer to join their team.
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The team will rely on your expertise in automating the transformation and manipulation of data to generate insights on product complaints & adverse events for Amgen. Experience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, preferred Oracle, PostgreSQL, and Hive SQL.
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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. As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources.
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Description: As an Azure Data Engineer, your role involves designing, implementing, monitoring, and maintaining data and analytical solutions on Microsoft Azure. Experience as an Azure Data Engineer or similar role.
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Job Description Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data’s business value.
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The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs.
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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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As a Data Security Engineer, you will join a highly skilled and focused Global Security team, who provide excellent data protection services over the ADP Network platform and across ADP company assets.
$75,600 - $202,590 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.
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As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies.
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Job DescriptionThe Senior Data Engineer serves as a key resource withing Global Data Engineering Organization in defining & designing Chubb's Data Integration & Management solutions to support Operational and Analytical Data needs.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Title: data engineer Company: Eagle Professional Resources
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