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Apache Airflow
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πŸ“ United States, Europe

🧭 Full-Time

πŸ’Έ 180000.0 - 220000.0 USD per year

πŸ” Software Development

🏒 Company: Eppo

  • Experience with OLAP SQL queries and processing
  • Expertise with software engineering practices like test coverage and CI/CD workflows
  • Experience with Nest.js (Typescript)
  • Building and maintaining backend APIs that power internal and external systems alike
  • Write backend software using Nest.js (Typescript) to power AirFlow tasks and our front-end API

Backend DevelopmentSoftware DevelopmentSQLApache AirflowCloud ComputingSnowflakeTypeScriptAPI testingData engineeringREST APINest.jsCI/CDData modelingNodeJSSoftware Engineering

Posted about 2 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 160000.0 - 200000.0 USD per year

πŸ” Software Development

🏒 Company: GameChanger

  • 4+ years of hands-on cloud engineering experience with a focus on scaling ML/AI infrastructure in high-throughput, real-time environments.
  • Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent) to automate cloud infrastructure for ML systems.
  • Deep knowledge of AWS services, patterns and best practices for resiliency, scalability, and security.
  • Hands-on experience with container orchestration (e.g., Kubernetes, ECS) with a focus on solving real-world scalability challenges.
  • Architect and scale cloud-based infrastructure purpose-built for real-time and batch ML workloads, ensuring system efficiency and reliability.
  • Design model-serving infrastructure to handle high-throughput inference workloads, model versioning, and multi-model interactions.
  • Design observability strategies, ensuring model performance, system reliability, and infrastructure health are continuously monitored.
  • Collaborate with ML/DevOps/Backend/Security Engineers on projects, integrating new tools, improving deployment speeds, scalability, and resiliency to support their evolving roadmaps.

AWSDockerPythonApache AirflowCloud ComputingGitKerasKubernetesMachine LearningMLFlowNumpyAlgorithmsAPI testingData engineeringData StructuresREST APIServerlessPandasSparkTensorflowCI/CDLinuxTerraformMicroservicesJSON

Posted about 18 hours ago
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πŸ“ Canada

πŸ’Έ 98400.0 - 137800.0 CAD per year

πŸ” Software Development

  • A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
  • Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
  • Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
  • Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
  • Experience working with message queues such as Kafka and Kinesis
  • Experience developing data pipelines and integrations for high volume, velocity and variety of data
  • Experience with data warehousing and data modeling best practices
  • Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
  • Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
  • Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
  • Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
  • Implement our technical roadmap as we scale our services and build new data products
  • Participate in code reviews, attend regular team meetings, and apply software development best practices
  • Take ownership of your work, and work autonomously when necessary
  • Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
  • Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
  • Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWSPostgreSQLPythonSoftware DevelopmentSQLAgileApache AirflowCloud ComputingData AnalysisData MiningETLJavaKafkaMySQLSoftware ArchitectureAlgorithmsAPI testingData engineeringData StructuresGoServerlessSparkCI/CDRESTful APIsMicroservicesScalaData visualizationData modelingData management

Posted 1 day ago
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πŸ”₯ Data Engineer
Posted 1 day ago

πŸ“ Italy

🧭 Full-Time

πŸ’Έ 40000.0 - 60000.0 EUR per year

πŸ” Fintech

🏒 Company: Qomodo

  • Experience in the design and development of scalable data pipelines
  • Excellent knowledge of SQL and relational databases (we use PostgreSQL)
  • You like Python and you wink at PySpark!
  • Familiarity with workflow orchestration tools (we use Airflow and Glue Workflow)
  • Knowledge of cloud services for data management (we mainly use AWS Glue and Athena)
  • Experience with ETL/ELT tools and data modeling practices
  • Understanding of best practices for data governance, quality and data security
  • Model data in a way that makes it easy for the business to extract insights
  • Create robust and scalable pipelines to support analysis, reporting, and decision-making

PostgreSQLPythonSQLApache AirflowCloud ComputingETLData engineeringData modeling

Posted 1 day ago
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πŸ“ United Kingdom

πŸ” Software Development

  • Experience developing and productionizing machine learning models, including their supported data pipeline.
  • Experience with machine learning using packages such as TensorFlow, PyTorch, Spark MLlib, XGBoost, Sklearn, etc.
  • Strong coding skills in Python or equivalent (Python, Java and C++).
  • Solid understanding of engineering and infrastructure best practices.
  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Work with large and complex datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the content and contributor intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in MLOps (Machine Learning Operations).

PythonSQLApache AirflowData AnalysisImage ProcessingKubeflowMachine LearningNLTKNumpyPyTorchC++AlgorithmsData engineeringData StructuresREST APIPandasSparkTensorflowData modeling

Posted 1 day ago
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πŸ“ United States of America

🧭 Full-Time

πŸ” Biotechnology, Pharmaceutical, Healthcare

🏒 Company: clarivate_careers

  • PhD (or equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
  • A minimum of five years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
  • Experience working in a customer-oriented consulting environment: an ability to earn customer trust through effective communication, efficiency, integrity, and deep technical expertise.
  • Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.
  • Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
  • Assist in designing and executing research methodologies to address business challenges and provide recommendations.
  • Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
  • Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
  • Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
  • Support proposal development by contributing to specific elements of the proposal.
  • Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

AWSDockerPythonSQLApache AirflowApache HadoopCloud ComputingData AnalysisData MiningETLFlaskImage ProcessingKafkaKubernetesMachine LearningNumpyPyTorchAlgorithmsData engineeringData scienceData StructuresRDBMSNosqlPandasTensorflowCI/CDRESTful APIsTerraformJSONData visualizationAnsibleData modelingData analyticsData management

Posted 1 day ago
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πŸ“ Ireland, United States (AZ, CA, CO, CT, FL, GA, IL, IN, IA, KS, MA, MI, MN, MO, NE, NJ, NY, NC, PA, SD, TN, TX, UT, WA, WI)

πŸ” Data Analysis

🏒 Company: SojernπŸ‘₯ 501-1000πŸ’° $9,842,000 over 1 year agoπŸ«‚ Last layoff over 1 year agoDigital MarketingAdvertising PlatformsSaaSTravel

  • 3+ years of experience in a data-driven role, preferably in analytics, data engineering, or business intelligence.
  • Strong proficiency in SQL (writing complex queries, working with relational databases).
  • Exposure to building ETL pipelines
  • Familiarity with BI tools (Tableau, Power BI, Looker, etc.) and the ability to create meaningful data visualizations.
  • Ability to work in a fast-paced environment, manage multiple priorities, and communicate insights effectively to both technical and non-technical stakeholders.
  • Work closely with Sales, Finance, Product, and Marketing teams to understand business needs and translate them into data solutions.
  • Analyze large datasets to identify trends, performance metrics, and actionable insights that support strategic business initiatives.
  • Develop detailed reports and dashboards using Tableau to help stakeholders make data-driven decisions.
  • Collaborate with data scientists and operations analysts to support testing and analysis on campaigns.
  • Build, optimize, and maintain ETL pipelines to process and transform raw data into structured, meaningful datasets.
  • Work with SQL, Python, and BigQuery to extract, clean, and manipulate data from multiple sources.
  • Ensure data quality, integrity, and consistency across different data sources.

PythonSQLApache AirflowBusiness IntelligenceData AnalysisETLJenkinsTableauAlgorithmsData engineeringData StructuresREST APIReportingData entryData visualizationData modelingData analyticsData management

Posted 2 days ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 232000.0 - 310000.0 USD per year

πŸ” Software Development

  • 10+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
  • Strong experience leading multiple engineering teams to deliver high quality software
  • Track record of successfully leading engineering teams at both rapidly scaling startups and complex larger technology companies.
  • Expertise in synthesizing complex technical requirements, designs, trade-offs, and capabilities into clear decisions to influence ML & engineering direction
  • Extensive experience developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
  • Experience building and operating online, real-time ML infrastructure including a model server and a feature store
  • Experience developing an offline environment for large scale data analysis and model training using technologies including Spark, Kubeflow, Ray, and Airflow
  • Experience delivering major features and system components
  • Set the multi-year, multi-team technical strategy for ML Platform and deliver it through direct implementation or broad technical leadership
  • Partner with technical leaders across the company to create joint roadmaps that will achieve business impacting goals through the advancement of machine learning
  • Act as a force-multiplier for your teams through your definition and advocacy of technical solutions and operational processes
  • You have an ownership mindset, and you will proactively champion investments in availability so that every project in your area achieves its availability targets
  • You will foster a culture of quality and ownership on your team by setting system design standards for your team, and advocating for them beyond your team through your writing and tech talks
  • You will help develop talent on your team by providing feedback and guidance, and leading by example

AWSBackend DevelopmentLeadershipProject ManagementPythonApache AirflowData AnalysisKotlinKubeflowKubernetesMachine LearningMySQLSoftware ArchitectureCross-functional Team LeadershipData engineeringSparkCommunication SkillsRESTful APIsDevOps

Posted 2 days ago
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πŸ“ Argentina, Colombia, Peru, Bolivia, Plurinational State of, Mexico

🧭 Contract

πŸ’Έ 2300.0 - 2500.0 USD per month

πŸ” Software Development

🏒 Company: Workana

  • Experience with Selenium, Puppeteer or Playwright.
  • Experience with Java (Spring Boot, Jsoup, HttpClient) and Python (Scrapy, Selenium, Playwright, FastAPI).
  • Experience with pandas and NumPy.
  • Knowledge in SQL databases (PostgreSQL, MySQL, SQL Server).
  • Implementation of scrapers in scalable environments with Docker and Kubernetes.
  • Deployment in AWS or GCP.
  • Development and maintenance of scrapers for extracting data from web portals.
  • Refactorization and optimization of legacy scrapers in Java towards Python.
  • Implementation of more efficient architectures to improve performance.

AWSBackend DevelopmentDockerGraphQLPostgreSQLPythonSQLApache AirflowETLGCPJavaJava EEKubernetesMySQLNumpySpring BootData engineeringFastAPIREST APIPandasSeleniumCI/CDMicroservicesJSONData management

Posted 3 days ago
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πŸ“ Lithuania

πŸ’Έ 4000.0 - 6000.0 EUR per month

πŸ” Software Development

🏒 Company: Softeta

  • 4+ years of experience as a Data Engineer
  • Experience with Azure (Certifications are a Plus)
  • Experience with Databricks, Azure Data Lake, Data Factory and Apache Airflow
  • CI/CD or infrastructure as code
  • Knowledge of Medallion Architecture or Multihop architecture
  • Experience developing and administering ETL processes in the Cloud (Azure, AWS or GCP) environment
  • Strong programming skills in Python and SQL
  • Strong problem-solving and analytical skills
  • Design, develop, and maintain data pipelines and ETL processes
  • Data modeling, data cleansing
  • Automating data processing workflows using tools such as Airflow or other workflow management tools
  • Optimizing the performance of databases, including designing and implementing data structures and using indexes appropriately
  • Implement data quality and data governance processes
  • Being a data advocate and helping unlock business value by using data

PythonSQLApache AirflowETLAzureData engineeringCI/CDData modeling

Posted 3 days ago
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