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Compensation : USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. Collaborates with other data scientists to improve USAA s tooling, growing the company s library of internal packages and applications.
$158,960 - $286,130 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
$120 - $175ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Title: Data Coordinator Job ID: 1045 Location: Onsite - Aiken, SC - Per Diem available for those who qualify Start: Immediately, Long-term assignment Must be US Citizen The purpose of this position is to support the Data Integration organization in the Savannah River Plutonium Processing Facility (SRPPF) oversight organization at the Savannah River Site (SRS.
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Experience reviewing in-vivo and in-vitro data including, but not limited to, inhalation, pathology, chemistry, PCR, and ELISA. The Data Coordinator is responsible for maintaining study files, reviewing data in real time, and ensuring that SOP, Protocol, and GLP requirements are met.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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The Master Data Analyst is responsible for working with a cross functional team to set up new materials and maintain all fields and processes associated with them. 1+ years of SAP master data experience.
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Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America's First Smart Network.
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Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (“DE”) designing, developing, testing, and implementing enterprise analytics platforms into Snowflake using Control-M jobs, Apachi Nifi, Apache Kafka, JavaScript, SnowScript, and Snowflake Tasks; and deploying data migration conversion scripts using GIT, Bit Bucket, and Jenkins Core pipelines.
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Title: 2024 Football Data Scout This role is considered fully remote: Currently SIS is only cleared to hire remote candidates in AL, AZ, CO, DE, FL, GA, IL, IN, LA, MA, MD, MI, MN, MO, MS, NC, NE, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI.
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Expertise in Python, R, SQL, statistics, data mining. 5+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Role: Data Center Engineer/ Technician Location: Tulsa, Oklahoma, USA / Plano, Texas, USA / Colorado Springs, Colorado, USA Requirements: Strong organizational and communication skills (written and verbal.
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Model Integration & Scalability: Collaborate with cross-functional teams to integrate data science solutions into scalable, production-grade systems using open-source frameworks like Apache Spark and containerization technologies like Docker.
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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
$72,100 - $144,200 a yearFull-timeExpandApply NowActive JobUpdated Today
data job Title: trainee Company: Usaa
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