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As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. Data Engineer, Lead.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- 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.
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A working knowledge and understanding of the following concepts: Data Management, Enterprise Data Management (EDM), Data Science, Data Strategy, Data Governance, Data Quality, Data Cleaning, Data Validation; apply and demonstrate proficiency in Extract, Transform, and Load (ETL) Processing, Data Collection, and Requirement Gathering; and will demonstrate proficiency in analytics software (e.g., Business Intelligence, Tableau, Esri, Microsoft Power BI.
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Analytica is seeking a remote Data Governance Lead to support a federal government client engagement in the Washington, DC metro area. Lead improvements in areas such as data access and availability, Metadata management, Master Data Management, data governance, coordination and planning for data management, data knowledge and skills, data collection, information collection processes, staff capacity, open data, among other areas.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Lead the design and modeling of data repositories in ServiceNow for enterprise reporting and analytics, enhancing data accessibility and insight generation. Proven experience as a Data Modeling SME or similar role with a focus on Databricks, Tableau, GA4, Looker, and PowerBI. Proficiency in Python for developing and implementing analytics solutions.
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Proven ability to demonstrate how the outputs of data strategy lead to more effective data management and innovation capabilities. Entrepreneurial mindset and ability to identify sources of value from data analytics across client’s business units and to define paths toward realizing value that lead and/or contribute to building future product/data strategy approaches in a collaborative manner.
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Preferred experience would include a background in Databricks DBT, Python, Airflow, Azure Data Factory, and/or KAFKA. Team members will work to deliver customer needs within our enterprise data warehouse, which may include data ingestion, flattening, alerting, testing, transformation, optimization, and/or data mart development.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Data Privacy Operations Contract language: Supports IDB Invest Legal Department in the definition of Data Privacy language for contract templates and assists IDB Invest organizational units with Data Privacy clauses in negotiations with contractual counterparties.
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As a Lead Data Engineer, you will work with a team of consultants, engineers, and analysts to design, build and implement solutions to migrate CFPB’s data to the cloud while continuously improving data quality, security and integrity.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Lead the development of collaborative, integrated digitally enabled approaches for countries with diverse malaria stakeholders at the global, regional, and country levels (e.g. improving community use of tools, improving data integration within existing tools.
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Conduct data extraction, cleaning, and analysis using Python, R, SQL, and SAS to prepare datasets for modeling. Involvement in AI projects for federal clients, experience with financial compliance tools (e.g., Anti-Money Laundering), and experience in data strategy roles.
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Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. Proficiency in data engineering concepts, tools, and technologies, with hands-on experience with Databricks or similar platforms.
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data job Title: operations lead Company: Toast in Arlington, VA
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