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Expertise in one or more specific areas of research: automated machine learning, anomaly detection, condition monitoring, predictive maintenance, neural nets, deep learning, signal processing, digital imaging, ensemble learning, and system identification.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA, and infrastructure as code (IaC) frameworks and services, including Terraform or CloudFormation.
$58,300 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with scaling data across distributed data engineering and computing, including Apache Nifi, Airflow, Spark, Dask, or Luigi. As a data strategist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Utilize Spark libraries (e.g., Spark SQL, MLlib) to perform data cleansing, transformation, feature engineering, and potentially machine learning tasks. We are seeking a highly skilled and experienced Big Data Developer to join our team in either Jersey City, NJ or Tampa, FL. In this role, you will play a critical role in developing and maintaining big data solutions using Apache Spark and Scala to unlock valuable insights from our banking domain data.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience using engines such as Apache Spark or Hadoop to analyze large datasets. The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic knowledge of machine learning algorithms and data visualization tools such as Microsoft Power BI and Tableau. 3+ years of experience in implementing distributed data processing pipelines using Apache Spark.
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8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. 5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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3+ years of experience working in large-scale data integration and analytics projects, including using cloud (e.g. AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g. Oozie, Apache Airflow) technologies.
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Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks. We are currently seeking a Machine Learning Engineer for our client in the Financial Services domain.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience leading product teams that leverage a similar tech stack to us would be a big plus: Apache Spark Column-oriented SQL data warehouses such as Snowflake or Redshift Workflow orchestration tools such as Apache Airflow Machine learning frameworks ETL tools such as Pentaho or AWS Data Pipelines AWS devops tools and techniques.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Big Data and Analytics: To handle and analyze enormous volumes of data, Data Engineer should have experience use big data technologies like Azure Databricks and Apache Spark to create data processing workflows and pipelines, to support data analytics, machine learning, and other data-driven applications.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of distributed computing frameworks such as Apache Spark or Hadoop is a plus. Proficiency in programming languages such as Python, R, or Scala, with experience in developing and deploying machine learning models.
Full-timeExpandApply NowActive JobUpdated 8 days ago
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