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The Data Engineer II in the Network Design Planning & Engineering (NDPE) team within the Global Transportation Services (GTS) organization holds the responsibility for building data engineering solutions that facilitate model developments, to propose designs that reduce cost to serve and improve customer speed.
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Experience with big data architectures (e.g. Spark, Azure, Snowflake) Contribute to the data infrastructure by designing and building robust data pipelines, safeguarding data integrity, and promoting data accessibility for data scientists and business stakeholders, to enable data analytics and machine learning initiatives.
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Leidos has an exciting opening for you as our next TS/SCI cleared Data Integration Engineer supporting the National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract.
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The Difference You Will Make: As a Staff Machine Learning Engineer on the Account Integrity team, you will be working with data scientists, designers, product managers, and customer service operations to innovate new ways we can stop bad actors in the ever evolving fraud landscape across team boundaries.
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Designing and developing data processing techniques: automating manual processes, data delivery, data validation, data quality, and integrity. Experience with distributed data systems such as Hadoop and related technologies (Spark, Trino, etc.
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Experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R) AbbVie Information Research is seeking an Associate Data Engineer who would contribute to the architecture, design, and development of the Data & Analytics Platform, supporting world-class research and development at AbbVie. As an Associate Data Engineer, you will be a core member of a high-performance team of data engineers and architects focusing on driving technology innovation and continuous improvement.
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Leverage data best practices and tools by collaborating with analytics translator data scientist and cloud engineer. Ensure data quality and integrity by implementing data governance and data management processes.
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Ensure data integrity by performing employing data engineering best practices. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc.
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The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.
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The Engineer will be working closely with data scientists, data mining experts, and business partner supporting the design of experiments and analytics, data sampling and mining, verification of data quality and information integrity, and best practices around the development and deployment of predictive/prescriptive models, DevOps operational systems and practices, and data visualization solutions.
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Keep risk control solutions state-of-art on fronts of data security, modularization, privacy and compliance. Proficiency in one or more tools of Linux, Hadoop, Hive, Spark, Storm; can quickly pick up others.
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This Dallas based technology company is looking for a talented Sr Devops / Platform Engineer / Kafka / Zookeeper to join their DevOps team supporting their data, search and messaging platforms, as well as partner with the product team to ensure data integrity across the enterprise.
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Experience in data pipelines tools such as Apache Airflow, NiFi, or AWS Data Pipeline, Hadoop, Spark, etc. Implement data quality and validation processes to ensure that the data is accurate, complete, and consistent; work with the data governance team to implement data standards, policies, and procedures to maintain data integrity.
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Perform regular database maintenance tasks such as backups, indexing, and performance tuning to ensure data integrity and efficiency. As a Software Engineer in the Analytics Storage team, you will be responsible for managing, optimizing, and ensuring the reliability and performance of our data lake.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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