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7+ years experience using Python, Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark, ) Significant experience with relational databases and query authoring (SQL) in Snowflake or other distributed Databases.
$100,000 - $200,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Research and evaluate new technologies in the big data space to guide our continuous improvement.
$160,000 - $280,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
$160,000 - $280,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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As a tech lead specialized in data engineering, you are expected to code and contribute to the stack. Work with Privacy and Security team on data governance, risk and compliance initiatives.
$160,000 - $280,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Stay on top of new technologies through R&D and prototyping to continuously improve our big data architectures and systems to streamline how we deliver value with high quality to our end users.
$165,000 - $210,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Demonstrated prior experience in creating data pipelines for text data sets NLP/ large language models. We’re looking for an exceptional data engineer who is passionate about data for AI and values it can bring to our company, Who loves working with data ops at scale; and who is committed to the hard work necessary to continuously improve our ML data pipelines.
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Our Data Engineer lead is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features. 2+ years of experience of technical leadership in building data engineering pipelines for AI.
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Collaborate with engineers in conceptualizing, planning and implementing data engineering initiatives working with different stakeholders. Work on applied ML solutions in the areas of data mining, cleaning, normalizing and modeling.
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The role will involve: Forming strategic partnerships, Making great first impressions during first-level calls/meetings/mails with Heads of Analytics / Advanced Analytics / Big Data at our prospects, extensive travelling, across the US (primarily, though it could include travelling to other parts of the US occasionally too), Participating actively at conferences, Generating a target number of qualified leads yourself.
Starting at $250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our ideal candidate is an autonomous individual who is passionate about getting big data and data science technologies working together to solve business problems, and who will efficiently help customers solve their technical issues with Dataiku.
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In this position, you will be responsible for establishing and executing the strategy for our organization’s ML Data Engine, with an initial focus on agile ML Data OPs. This includes identification of infrastructure components and data stack to be used, design and implementation of pipelines between data systems and teams, automation workflows, data enrichment and monitoring tools all for AI models.
$160,000 - $280,000 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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5+ years of experience as a data engineer building production-level pre/post-processing data pipelines for ML/DL models, including 2+ years of technical leadership experience. Dive into our dataset and design, implement and scale data pre/post processing pipelines of ML models.
$160,000 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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In this pivotal role, you will have the opportunity to build foundational tools and data pipelines to ingest, normalize and clean the valuable data that would be fundamental for our ML engineers to build AI tools including recommendations, LLMs, ads, visual search, growth/notifications, trust and safety.
$160,000 - $280,000 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Build data processing streams for cleaning and modeling text data for LLMs. Be familiar with legal compliance (with data management tools) data classification, and retention.
$160,000 - $280,000 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark. 5+ years of experience working with data at scale, including data engineering, business intelligence, data science, or related field.
$165,000 - $210,000 a yearFull-timeExpandUpdated 2 days ago
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