Top Remote Data Engineer Jobs
Join Square's Measurement Machine Learning team as a Senior Machine Learning Engineer specializing in attribution modeling. Build innovative ML solutions for Square's attribution system to drive growth and strategic decisions. Collaborate with various stakeholders and external data providers to enhance Square's measurement capabilities.
Seeking a Senior Machine Learning Engineer with expertise in attribution space to join the team in expanding Square's measurement system. Responsibilities include building data science and machine learning solutions, partnering with stakeholders, and staying updated on industry advancements.
Develop and maintain a specialized semantic data framework for cloud services, libraries, and databases at CrowdStrike. Collaborate on data modeling, replication, and governance tools. Implement service-based architectures and work with distributed databases. Proficient in Python, Go, or C++.
As a Data Engineering Manager at Spokeo, lead and mentor the Data Engineering team in processing large data sets for people-search products. Collaborate with stakeholders, develop automation components, and ensure data quality. Require 5+ years of experience in scalable systems, 3+ years in big data ecosystems, and managing software developers.
Develop, optimize, and maintain ETL data pipeline using AWS infrastructure and technologies like Airflow, PySpark, and DynamoDB. Build and improve automation platform features and data pipeline orchestration tools.
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Develop and maintain data pipelines, implement ETL processes, create data models, and work with big data technologies. Collaborate with teams to ensure data quality and integrity for NBC Sports Next's digital platforms and applications.
Senior Data Engineer role at Fandango, responsible for designing, building, testing, and maintaining data pipelines. Collaborate with teams to meet data needs, troubleshoot production issues, and mentor team members. Requires 9+ years of Data Engineering experience and programming skills in Python, Java, Scala, and SQL.
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning. Responsibilities include solving complex problems, leading projects, and collaborating with teams. The role requires 5+ years of software development experience, fluency in Java, Kotlin, Python, and expertise in AWS, Apache Spark, and Machine Learning projects lifecycle.
At Atlassian, the Senior Machine Learning Engineer position offers a competitive base pay range of $165,500 - $265,800 in the United States across three geographic pay zones. The role may also include benefits, bonuses, commissions, and equity.
Senior Software Engineer in the Central AI team responsible for building and maintaining core infrastructure for machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines. Must have 5+ years of experience in software development, fluency in Java, Kotlin, Python, experience with AWS, Apache Spark, and knowledge of Machine Learning project lifecycle.
GoodRx is seeking a Lead Machine Learning Engineer to lead the development and implementation of analytical capabilities, machine learning models, and data products. Responsibilities include developing personalization services, collaborating on technology projects, standardizing machine learning frameworks, and analyzing data insights. The ideal candidate should have a Master's degree in relevant fields and at least 7 years of experience in building machine learning systems at scale.
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Senior Machine Learning Engineer responsible for developing cutting-edge ML models and algorithms for strategic investment decisions. Partner with various stakeholders to refine growth strategy and inform investment decisions with data. Stay updated on the latest trends in machine learning and data science.
Develop and maintain data infrastructure for data scientists, support analytics development, ensure adherence to data practices and standards. Requires 7+ years of experience in data engineering in the healthcare sector with a degree in Computer Sciences, Statistics, Clinical Informatics or similar field.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to improve customer support effectiveness, collaborate with cross-functional teams to develop impactful solutions, continuously monitor model performance, and prepare reports on trends to stakeholders.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with various engineering teams to deliver core infrastructure and optimizations. Open to candidates in Canada and US excluding specific areas in San Francisco Bay Area and NYC Metro Area.
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