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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 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.
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The University of California, San Francisco (UCSF) Department of Information Technology Academic Research Services (ARS) is chartered to provide data services and infrastructure which support clinical researchers computing and analytic needs.
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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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Valo Health, Inc (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster.
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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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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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Stage 2 (Behavioral Screen Video Call) with one of our engineering managers. Collaborate with UX experts, designers, and data analysts to deliver products quickly and effectively. If you think you would enjoy creating joyful games on top of a rapidly evolving AI technology stack, please get in touch.
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As a solutions engineer, you sit at the intersection of technology and business, working collaboratively with different teams to transform data generated by our fleet of edge devices into data products that are consumable by our end customers.
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Strong programming (Python/Java) and data engineering skills. Work collaboratively with cross-functional partners including product managers, operations and data scientists, identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions and quantify impact.
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technology data engineering jobs Title: engineer Company: Lyft in San Francisco, CA
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