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πŸ“ Germany

πŸ” AI and data analytics consulting

🏒 Company: Unit8 SA

  • MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
  • Proficient software engineer who has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
  • Proficient in one of the following languages: Python, Scala, Java.
  • Experience with cloud technologies is a strong plus.
  • Work with our customers to understand their challenges, design and implement solutions.
  • Closely collaborate with other data scientists, software engineers and business stakeholders.
  • Evaluate, compare and present results to technical and non-technical audience.
  • Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
  • Implement best practices in CI/CD

AWSDockerPythonSQLCloud ComputingData AnalysisETLJavaKubernetesMachine LearningAlgorithmsData engineeringData scienceSparkCI/CDRESTful APIsScalaSoftware Engineering

Posted about 7 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 216000.0 - 264000.0 USD per year

πŸ” Healthcare

🏒 Company: MachinifyπŸ‘₯ 51-100πŸ’° $10,000,000 Series A over 6 years agoArtificial Intelligence (AI)Business IntelligencePredictive AnalyticsSaaSMachine LearningAnalytics

  • 10+ years of backend focused experience in the field of application programming
  • Strong working experience with Java or Scala
  • Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.
  • Working experience writing SQL queries
  • Additional Python and C# or other backend languages are a plus
  • Strong CS foundation (data structures, asynchronous programming)
  • Excellences in test writing discipline
  • Critical thinking and problem solving skills working in a high growth environment
  • Comfortable navigating ambiguity
  • BS or MS in Computer Science (or equivalent experience)
  • Contribute to backend server-side development to ensure our application is extensible, scalable, and secure
  • Recognize and prioritize between Customer deliverables & Tech debt to develop a sustainable software suite of products.
  • Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
  • Deliver resilient enterprise software solutions

AWSBackend DevelopmentDockerLeadershipProject ManagementSQLDesign PatternsGitJavaKubernetesMachine LearningSoftware ArchitectureSpring BootAlgorithmsData StructuresJava SpringREST APICommunication SkillsCI/CDProblem SolvingRESTful APIsMicroservicesCritical thinkingScalaSoftware Engineering

Posted about 11 hours ago
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πŸ“ Worldwide

🧭 Full-Time

πŸ” AI

🏒 Company: Creai

  • Proficiency in Python and Java or Scala; familiarity with machine learning frameworks like TensorFlow or PyTorch and data libraries like pandas and scikit-learn.
  • Hands-on experience with AWS, Google Cloud, or Azure and their machine learning toolsets.
  • Proven ability to tackle complex problems using data analytics and predictive modeling.
  • Strong verbal and written communication skills with a team-oriented mindset, capable of working effectively with cross-functional teams.
  • Keen scientific curiosity with a commitment to staying updated on industry trends and best practices.
  • Familiarity with data structures, data modeling, and software architecture principles.
  • Design, build, and maintain efficient machine learning models and full-stack solutions from prototype to production, optimizing performance, scalability, and cost.
  • Work closely with data scientists, software engineers, and product managers to integrate AI models into broader software systems, ensuring seamless functionality.
  • Analyze large datasets, develop predictive models, and apply advanced statistical techniques to address client-specific challenges.
  • Continuously improve existing systems and algorithms for speed, efficiency, and reliability.
  • Utilize cloud platforms (AWS, Google Cloud, Azure) to deploy and scale AI solutions, leveraging services that enhance performance and cost-effectiveness.
  • Stay informed about the latest AI and machine learning trends and technologies, ensuring that Creai remains competitive.
  • Document development processes and present technical results to technical and non-technical stakeholders.

AWSPythonSQLCloud ComputingData AnalysisFull Stack DevelopmentJavaMachine LearningPyTorchSoftware ArchitectureAzurePandasTensorflowCommunication SkillsRESTful APIsScalaData modeling

Posted about 11 hours ago
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πŸ“ United States

πŸ’Έ 144000.0 - 180000.0 USD per year

πŸ” Software Development

🏒 Company: HungryrootπŸ‘₯ 101-250πŸ’° $40,000,000 Series C almost 4 years agoArtificial Intelligence (AI)Food and BeverageE-CommerceRetailConsumer GoodsSoftware

  • 5+ years of experience in ETL development and data modeling
  • 5+ years of experience in both Scala and Python
  • 5+ years of experience in Spark
  • Excellent problem-solving skills and the ability to translate business problems into practical solutions
  • 2+ years of experience working with the Databricks Platform
  • Develop pipelines in Spark (Python + Scala) in the Databricks Platform
  • Build cross-functional working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams to power pipeline development for the business
  • Ensure system reliability and performance
  • Deploy and maintain data pipelines in production
  • Set an example of code quality, data quality, and best practices
  • Work with Analysts and Data Engineers to enable high quality self-service analytics for all of Hungryroot
  • Investigate datasets to answer business questions, ensuring data quality and business assumptions are understood before deploying a pipeline

AWSPythonSQLApache AirflowData MiningETLSnowflakeAlgorithmsAmazon Web ServicesData engineeringData StructuresSparkCI/CDRESTful APIsMicroservicesJSONScalaData visualizationData modelingData analyticsData management

Posted 1 day ago
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πŸ“ United States, Latin America, India

πŸ” Software Development

  • 8+ years as a hands-on Solutions Architect and/or Data Engineer
  • Programming expertise in Java, Python and/or Scala
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • SQL and the ability to write, debug, and optimize SQL queries
  • 4-year Bachelor's degree in Computer Science or a related field
  • Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
  • Design and implement data solutions
  • Lead and/or mentor other engineers
  • Develop end-to-end technical solutions into production β€” and to help ensure performance, security, scalability, and robust data integration
  • Programming expertise in Java, Python and/or Scala
  • Client-facing written and verbal communication skills and experience
  • Create and deliver detailed presentations
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWSLeadershipPythonSQLCloud ComputingETLGCPJavaSnowflakeAzureData engineeringREST APISparkPresentation skillsDocumentationClient relationship managementScalaData visualizationMentorshipData modeling

Posted 1 day ago
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πŸ“ United States

πŸ’Έ 135000.0 - 155000.0 USD per year

πŸ” Software Development

🏒 Company: JobgetherπŸ‘₯ 11-50πŸ’° $1,493,585 Seed about 2 years agoInternet

  • 8+ years of experience as a data engineer, with a strong background in data lake systems and cloud technologies.
  • 4+ years of hands-on experience with AWS technologies, including S3, Redshift, EMR, Kafka, and Spark.
  • Proficient in Python or Node.js for developing data pipelines and creating ETLs.
  • Strong experience with data integration and frameworks like Informatica and Python/Scala.
  • Expertise in creating and managing AWS services (EC2, S3, Lambda, etc.) in a production environment.
  • Solid understanding of Agile methodologies and software development practices.
  • Strong analytical and communication skills, with the ability to influence both IT and business teams.
  • Design and develop scalable data pipelines that integrate enterprise systems and third-party data sources.
  • Build and maintain data infrastructure to ensure speed, accuracy, and uptime.
  • Collaborate with data science teams to build feature engineering pipelines and support machine learning initiatives.
  • Work with AWS cloud technologies like S3, Redshift, and Spark to create a world-class data mesh environment.
  • Ensure proper data governance and implement data quality checks and lineage at every stage of the pipeline.
  • Develop and maintain ETL processes using AWS Glue, Lambda, and other AWS services.
  • Integrate third-party data sources and APIs into the data ecosystem.

AWSNode.jsPythonSQLETLKafkaData engineeringSparkAgile methodologiesScalaData modelingData management

Posted 1 day ago
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πŸ“ United States, Latin America, India

πŸ” Software Development

  • At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
  • Programming expertise in Java, Python and/or Scala
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • SQL and the ability to write, debug, and optimize SQL queries
  • Client-facing written and verbal communication skills and experience
  • 4-year Bachelor's degree in Computer Science or a related field
  • Develop end-to-end technical solutions into production β€” and to help ensure performance, security, scalability, and robust data integration.
  • Create and deliver detailed presentations
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWSPythonSQLCloud ComputingData AnalysisETLGCPJavaKafkaSnowflakeAirflowAzureData engineeringSparkCommunication SkillsScalaData modelingSoftware Engineering

Posted 1 day ago
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πŸ“ United Kingdom

πŸ” Software Development

  • Demonstrated industry experience.
  • Great understanding of and interest in well-designed APIs.
  • Relevant experience in at least one server-side programming language (Java, Python, Scala).
  • You’re excited about the challenges of scalability, reliability, and performance.
  • Willing to delve into infrastructure to unlock more performant solutions.
  • Build platforms to increase the development velocity of new product features.
  • Iterate quickly using Continuous Integration / Continuous Deployment principles.
  • Articulate a technical vision and execute it.
  • Give back by mentoring other engineers and sharing the skills you learn.
  • Collaborate with team members and engineers across the company to design elegant systems.

AWSBackend DevelopmentPythonSoftware DevelopmentSQLCloud ComputingDesign PatternsJavaAlgorithmsAPI testingData StructuresCI/CDRESTful APIsMicroservicesScala

Posted 2 days ago
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πŸ“ United Kingdom

πŸ” Software Development

  • Demonstrated industry experience.
  • Great understanding of and interest in well-designed APIs.
  • Relevant experience in at least one server-side programming language (Java, Python, Scala).
  • You’re excited about the challenges of scalability, reliability, and performance.Willing to delve into infrastructure to unlock more performant solutions.
  • Build platforms to increase the development velocity of new product features.
  • Iterate quickly using Continuous Integration / Continuous Deployment principles.
  • Articulate a technical vision and execute it.
  • Give back by mentoring other engineers and sharing the skills you learn.
  • Collaborate with team members and engineers across the company to design elegant systems.

Backend DevelopmentDockerPythonSoftware DevelopmentSQLAgileCloud ComputingJavaAPI testingCI/CDRESTful APIsScala

Posted 2 days ago
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πŸ“ SΓ£o Paulo, Rio Grande do Sul, Rio de Janeiro, Belo Horizonte

πŸ” Data field

🏒 Company: TELUS Digital Brazil

  • 3+ years in the Data field
  • Experience in the construction and optimization of data pipelines, architectures, and 'big data' datasets
  • Proficiency with Apache Spark with a general-purpose programming language such as Python or Scala
  • Ability to create processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL databases
  • Experience with data pipeline and workflow management tools
  • Be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams;
  • Create and maintain optimal data pipeline architecture;
  • Assemble large, complex data sets that meet business requirements;
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc;
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

AWSPythonSQLCloud ComputingETLGCPHadoopKafkaAirflowAzureData engineeringScala

Posted 5 days ago
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For those looking for fully remote jobs in their own country, our platform offers the ability to customize the search based on your location. This is especially useful if you want to adhere to local laws, consider time zones, or work with employers familiar with local specifics.

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Whether you're looking for stable full-time employment, the flexibility of freelancing, or a part-time side gig, you'll find plenty of options on Remoote.app.

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We feature offers for people with all levels of expertise:

  • for beginners β€” ideal positions for those just starting their journey in internet working from home;
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To begin searching for home job opportunities, follow these three steps:

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If you don't have a resume yet, use our online builder. It will help you create a professional document, highlighting your key skills and achievements. The AI will automatically optimize it to match job requirements, increasing your chances of a successful response. You can update your profile information at any time: modify your skills, add new preferences, or upload an updated resume.