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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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7+ years of practicing attorney experience, with 2+ years at a top-tier law firm in any area and 5+ years in-house at a technology company in commercial/data/IP licensing /sales deals/product counseling (not patent prosecution.
$210,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The candidate is expected to have strong collaborative skills to ensure robust partnerships with biologists, antibody discovery and engineering & bioanalytical scientists to advance ADC projects.
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The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
$180,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work in collaborative team environment including Product, Design, Engineering and Research to shape how we bring together Cash App and Square. The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Stay current on latest trends in HR analytics, workforce planning, and people analytics technology to ensure our organization stays at the forefront. Expert skills in data tools (SQL, Excel, Tableau, Looker, etc.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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Trusted by over 1,000 organizations worldwide and with over 30 anti-malware engines, 100+ data sanitization engines and more than 25 technology integration partners, OPSWAT is a pioneer and leader in data sanitization, vulnerability detection, multi-scanning, device compliance, and cloud access control.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
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Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our Strategy & Consulting services help architect and accelerate all aspects of an organization’s total enterprise reinvention.
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Nice to have: Hands-on experience with some of the data analytics products such as Spark, Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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Identify and know when to seek support on key regulatory issues (e.g., securities, payments, money transmission, data protection, sanctions/export controls, AML/KYC, tax). Affinity for program management and using technology solutions to help scale our team’s processes, and comfort with GSuite applications, Microsoft Office, and other tech SaaS tools (such as SQL, Looker, Figma, Slack, AirTable, etc.
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technology data engineering jobs Title: engineer Company: Remoteworker Us in San Francisco, CA
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