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Data engineering (Python, dbt, Kafka, Parquet, Fivetran, Hightouch, etc.) 3+ years of experience in data management, data engineering, data analytics, product management or a similar background.
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An average week will find you digging into a brand-new data set, profiling data, validating feature launch metrics, suggesting new measurement opportunities, or presenting your results to leaders across product, engineering, or design.
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How you’ll make an impact:Lead and drive the development of data engineering technology and platforms for the company's data needs, ensuring their reliability, performance, and flexibility.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Partner with engineering, data science, and other analytics teams to build long-term solutions that support the growth strategy. Additional Awesomeness: (Preferred, but not required)Experience with any part of our data stack: Stitch, Rails, Airflow, BigQuery, dbt, Tableau/Looker, and git.
$100,000 - $165,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Valid certification from the Behavior Analyst Certification Board is required at one of the following levels (salary commensurate with certification level): Board Certified Behavior Analyst - Doctoral (BCBD) Board Certified Behavior Analyst (BCBA) Board Certified Associate Behavior Analyst (BCaBA) may be acceptable at some locations.
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Research experience with antibody-based molecular engineering and relevant datatypes (e.g., surface plasmon resonance data and deep sequencing datasets) is desirable but not essential. At least 2 years of research experience in protein biochemistry, protein engineering or related field.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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3+ years combined as a solutions architect or engineer, application engineer, data scientist, senior data analyst or a similar technical role at a fast-growing technology company. Prior experience with modern data technologies stack such as Databricks, Airflow, etc.
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Must have 3 years of recent experience in financial engineering or statistical software package such as a Matlab, Stata, Bloomberg, or MS Excel/VBA. Must have 3 years recent experience in Word and PowerPoint.
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One or more of the following credentials or certifications is required: CPA License, Levels 1 & 2 of the CFA exam, JD, PhD, MBA or Master’s degree in Accounting, Finance, Tax, Quantitative Statistics, Engineering, Corporate Engineering, Information Systems, Financial Engineering, Economics, Real Estate Finance or Hospitality, Enrolled Agent (EA), State Certified Appraiser License.
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The Lead solution architect typically requires seven or more years of technical experience across data engineering, data modeling, data governance. The Sr. solution architect typically requires five or more years of technical experience across data engineering, data modeling, data governance.
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Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue,AWS Lambda. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Collaborate closely with security, operations, development, networking, SD-WAN, and data center engineering teams to ensure smooth integration of IaC solutions with existing infrastructure and processes.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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The successful candidate will hold BS or higher degree(s) in Cell/Molecular/Cancer Biology, Biochemistry, Immunology, Biological/Chemical Engineering, or related disciplines. A dynamic research environment dedicated to the pursuit of clinical discovery research by leveraging high-content multimodal clinical and biomarker data to develop the next generation of therapeutic targeting strategies.
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data engineering analyst jobs Company: Dice in San Francisco, CA, Us
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