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Must hold a Professional Engineer (PE) license in Civil Engineering issued by a U.S. state, commonwealth, territory, or the District of Columbia. Planate is a small business provider of planning, design, infrastructure management, technical consulting, engineering, and construction management services in support of the US Department of Defense (DOD) and its Service (Army, Air Force, Navy, Marine Corps) missions, along with other US federal agencies, all over the world.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You’ll play a key role in developing processes for next-generation DNA synthesis to support protein engineering across a wide variety of industries on the way to enabling truly generative protein design.
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Keywords: Water/Wastewater Engineer, Environmental Engineering, Clean Water, Safe Water, Resilient Water Supplies, Civil Engineering, EIT, FE, Professional Engineer, California, MS Office, ArcGIS, AutoCAD, WaterGEMS, InfoWater, InfoWorks ICM, InfoSWMM, Salary Range, Benefits, Bonuses, Tuition Reimbursement, Collaborative Team, Diverse, Inclusive, Confidential.
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As we continue to expand, we are seeking an experienced Principal Data Engineer with expertise in data engineering and AI/ML. In this key role, you will take ownership of driving innovation and leading the technology strategy for modern data platforms across data warehouse, tooling, integrations, and AI/ML. You will collaborate with cross-functional leaders to deliver impactful data solutions that directly influence our business outcomes.
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Partner with Site Reliability Engineering(SRE) to implement monitoring, alerting, and automation for infrastructure reliability, scalability, and cost-efficiency, contributing to a highly available and performant hybrid cloud environment.
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Professional Engineer (P.E.), Certified Energy Engineer (CEM), Project Management Professional (PMP) and Master’s degree in Engineering with a preference for Mechanical Engineering is a plus.
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An Instrumentation Mechanical Design Engineer works as part of a multidisciplinary engineering team to perform a variety of engineering assignments in planning and overseeing research, design, installation, and integration of airborne data acquisition systems for the Instrumentation Design section.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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About the teamThe Finance Engineering team is at the core of Stripe to empower mission-critical financial domains including Accounting, Finance operations, Finance & Strategy, and Treasury. Engineers on the Financial Engineering team build platforms, data pipelines, and financial products for the Finance team led by Stripe’s CFO. The use cases include financial analytics and insights, accounting automation, auditing, financial planning & forecasting, and financial business intelligence.
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Familiarity with data engineering best practices and workflow management tools like Airflow. 7+ years of experience as a Data Engineer with proven expertise in Snowflake and Databricks.
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Craft data-engineering pipelines (using tools like BigQuery) to identify security vulnerabilities before they've been exploited. You'll also become an expert on modern development trends, especially the cloud-native stack, devsecops, Gitops, and modern data-engineering pipelines.
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We are currently seeking a Geotechnical Engineer/Associate for our Civil Engineering Practice in Oakland, California. Degrees, experience or related coursework in Geology/Geological Engineering, Groundwater/Surface Water Hydrology or Structural Engineering a strong plus.
$115,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build engineering team to support pilot plant detailed design through to deployment, including internal hires, vendors, and external engineering groups. The ideal candidate will have 10+ years of industry experience in chemical process design, modeling, and engineering and have seen the full cycle of plant design from concept to construction to shakedown to operation.
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Our ideal candidate will be a self-starter with a strong academic foundation, 5+ years of experience in deep learning and NLP, and recent industry experience with LLM's (prompt engineering, fine tuning, etc.
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This role is eligible for fully remote and will report into our Director of Data Engineering - Platform Engineering. Experience in building CI/CD pipelines, testing frameworks (e.g. dbt), and best practices in data engineering.
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engineering job Title: engineer in San Francisco, CA
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