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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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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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POSITION DESCRIPTIONPosition: Data Engineer I Officeof Data Governance and AnalysisEmployment Status:Temp/Full-Time/ExemptABOUT LSC: Established by Congress in 1974, the Legal Services Corporation (LSC) is the country’s single largest funder of civil legal aid for low-income Americans.
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We are in search of a highly motivated candidate to join our talented Team. Job Title: Sr. Data Engineer Location(s): Mclean, VA Must have: 5+ years of experience with Python, SQL, Airflow, Spark, AWS (EMR, Lambda) Nice to have: Scala, Snowflake The candidate will be collaborating with other engineers and following the Agile Methodology.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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7+ years expertise in big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization (i.e., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Airflow, ELT tools like DBT, Reporting Tools, AI/ML Platforms.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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Our Senior Staff Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into Geico as we embark on a greenfield project to implement a core Data Lakehouse for all Geico's core data use-cases across each of the company's business verticals.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Preference will be given to candidates who are familiar with data governance and data security technology solutions Preferred Qualifications- Certifications such as CIPT, CIPM, CIPP, CISSP, CRISC, etc.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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The Building Engineer is responsible for completing work orders, grounds maintenance, painting, caulking, HVAC, plumbing, drywall, electrical and completing maintenance on buildings as needed. The Building Engineer will perform general preventive maintenance and corrective repair of buildings, industrial systems, equipment and grounds.
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We are seeking a Facilities Engineer to support the Pilot Bioproduction Facility (PBF) at the Walter Reed Army Institute of Research (WRAIR) in Silver Spring, Maryland. The Facilities Engineer will be a member of the Engineering and Facilities Team (E&F) for the WRAIR PBF Building.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Title: data engineer Company: Massachusetts Health Connector in Chevy Chase, MD
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