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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines. Stay up to date with emerging technologies, best practices, and industry trends in data engineering and software development.
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As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain. Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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Deep understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing. System1 is one of the largest customer acquisition companies in the world whose growth depends heavily on a very talented data engineering team.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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About the Team:The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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5+ yrs in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services. -Experience working directly with data analytics to bridge business requirements with data engineering.
Full-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proficiency in Yardi, Nexus and/or other ERP software systems is a plusProficiency in advanced data analytics tools such as PowerBi or Tableau is a plusUnderstanding of basic concepts in data base management such as Azure, SQL, et cetera is a plusBeing able to quickly master new software packages is a must.
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Data Engineering experience required (EG ETL, SQL, Python, or equivalent) A significant facet of the role encompasses data engineering—including the construction of data architectures of hundreds of sources and integration of disparate systems.
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Collaborates closely with cross-functional partners in Product, Engineering, User Experience and Design, Data Analytics, Backend, Partnerships, IT, Risk, Marketing, Operations, Compliance and other functions.
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It comprises the following practice areas: Acoustics; Air Quality; Ecology; Geospatial & Data Services; Heritage; Landscape; Water Environment; Impact Assessment; Planning; Climate Change, Sustainability & Resilience; Stakeholder Engagement; and ESIA & ESDD (international environment and sustainability work.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Bachelor's Degree, preferably with quantitative focus or a technical subject such as engineering, environmental science, et cetera. Understanding of basic concepts in data base management such as Azure, SQL, et cetera is a plus.
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We specifically aim to shorten the data review process after running tests and help engineering organizations scale testing campaigns more efficiently and effectively to save time and lower costs.
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Take ownership and leverage your software development and data engineering skills to plan, develop, and ship successful features and products. DISQO's insights, agile testing and advertising measurement products are powered by millions of consumers on the industry's largest opt-in consumer data platform.
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Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum three (3) years experience in data analytics or a directly related field.
$90,300 - $116,820 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Deploy and maintain data science, machine learning and other data products using best practices in engineering. Strong experience with big data technologies such as Spark, Kafka, Kinesis, Airflow, Hadoop, Hive, Databricks, Snowflake etc.
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data engineering jobs in Los Angeles, CA
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