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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 about 4 hours 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 about 6 hours ago
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πŸ“ United States

πŸ’Έ 112000.0 - 126000.0 USD per year

πŸ” Software Development

🏒 Company: Titan Cloud

  • 5+ years of experience in data analytics and business intelligence
  • Direct experience with data visualization tools (Power BI, Tableau, Looker).
  • Strong SQL skills for querying, transformation, and performance tuning.
  • Strong problem-solving skills and the ability to translate business needs into technical solutions.
  • Analyze business data to identify trends, patterns, and opportunities for improvement.
  • Develop key performance indicators (KPIs) and metrics to track business performance.
  • Conduct ad-hoc analyses to support decision-making across teams.
  • Work closely with analysts and business stakeholders to understand data needs and reporting requirements.
  • Create and maintain interactive dashboards and reports using Power BI, Tableau, Looker, or similar tools.
  • Create automated reporting solutions to support business operations and decision-making.
  • Write efficient SQL queries to extract and manipulate data from databases.
  • Present findings and insights to stakeholders in a clear and actionable manner.
  • Support self-service BI initiatives, enabling non-technical teams to access and use data effectively.
  • Automate and optimize reporting processes to improve efficiency.
  • Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from multiple sources
  • Identify opportunities for process automation and efficiency improvements.
  • Ensure data integrity, consistency, and performance optimization in database solutions.

SQLBusiness IntelligenceData AnalysisETLTableauData engineeringAnalytical SkillsReportingData visualizationData modelingData analytics

Posted about 6 hours ago
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πŸ“ United States

πŸ’Έ 89000.0 - 140000.0 USD per year

πŸ” Business Intelligence/Analytics

🏒 Company: BusinessolverπŸ‘₯ 501-1000πŸ’° Private about 7 years agoAccountingFinancial ServicesInformation Technology

  • Minimum of 5 years of BI development or product management experience, preferably with a background of building analytic products intended for external/client stakeholders vs. internal stakeholders.
  • Expertise in BI tools, data warehousing, data modeling, and analytics platforms.
  • Proficiency in using statistical tools and techniques to analyze data and generate insights.
  • Experience democratizing data to emphasize the accessibility and comprehensibility of data across the organization.
  • Extensive experience with BI visualization tools such as Tableau, Microsoft Power BI or similar platforms for creating dashboards and reports.
  • Understanding of data warehousing concepts, including data storage, data mining, and the ability to work with large data sets.
  • Ability to write SQL (or Python) queries for data extraction, manipulation, and analysis. Knowledge of relational and non-relational databases.
  • Understanding of Extract, Transform, Load (ETL) processes for integrating, cleaning, and consolidating data from various sources.
  • Skills in data modeling and the ability to understand and design data schemas for analytics and reporting purposes.
  • Basic understanding of machine learning algorithms and their application in predictive analytics can be beneficial.
  • Knowledge of how to integrate with various APIs (Application Programming Interfaces) to pull in data from different services.
  • Experience with cloud services like AWS, Google Cloud, or Azure, particularly their data and analytics offerings.
  • Proven ability to develop product strategies and effectively communicate recommendations to executive management.
  • Experience with agile development methodologies and experience with product management tools and services.
  • Develop and maintain a product roadmap for BI and analytics offerings, ensuring alignment with overall business strategy, delivering high-quality, scalable solutions.
  • Collaborate with cross-functional teams to understand business needs and translate to technical requirements and BI solutions.
  • Work with engineering, design, and data science teams to develop data models, dashboards, and reports to provide actionable insights to stakeholders.
  • Work with internal stakeholders (sales/marketing, client teams, call center) to drive product adoption, retention, and growth.
  • Stay up to date with competitor insights and industry trends and emerging technologies in business intelligence to identify opportunities for innovation and differentiation.
  • Establish metrics and KPIs to measure product performance and inform future development decisions.
  • Facilitate product training and provide ongoing support to ensure customer and team understanding and product success.

AWSSQLAgileBusiness IntelligenceCloud ComputingData AnalysisETLMachine LearningMicrosoft Power BIProduct ManagementCross-functional Team LeadershipTableauProduct DevelopmentProduct AnalyticsREST APICommunication SkillsAnalytical SkillsCollaborationData visualizationData modelingData analyticsData management

Posted about 7 hours ago
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πŸ”₯ Lead/Senior Data Engineer
Posted about 7 hours ago

πŸ“ United States, Latin America, India

πŸ” Software Development

🏒 Company: phDataπŸ‘₯ 501-1000πŸ’° $2,499,997 Seed about 7 years agoInformation ServicesAnalyticsInformation Technology

  • 4+ years as a hands-on Data Engineer and/or Software Engineer
  • Experience with software development life cycle, including unit and integration testing
  • Programming expertise in Java, Python and/or Scala
  • Experience with core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • Experience using SQL and the ability to write, debug, and optimize SQL queries
  • Client-facing written and verbal communication skills
  • Design and implement data solutions
  • Help ensure performance, security, scalability, and robust data integration
  • Develop end-to-end technical solutions into production
  • Multitask, prioritize, and work across multiple projects at once
  • Create and deliver detailed presentations
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWSPythonSoftware DevelopmentSQLCloud ComputingData AnalysisETLGCPJavaKafkaSnowflakeAzureData engineeringSparkCommunication SkillsCI/CDProblem SolvingAgile methodologiesRESTful APIsDocumentationScalaData modeling

Posted about 7 hours ago
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πŸ”₯ Senior Data Engineer
Posted about 9 hours ago

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 about 9 hours ago
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πŸ”₯ Solutions Architect
Posted about 9 hours ago

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 about 9 hours ago
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πŸ“ United States

πŸ’Έ 123000.0 - 235900.0 USD per year

πŸ” Data/AI

  • 7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
  • Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
  • Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
  • Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
  • Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
  • [Preferred] Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers.
  • [Preferred] Databricks certification or experience with Apache Sparkβ„’, MLflow, Delta Lake, and other open-source technologies.
  • Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
  • Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
  • Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
  • Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
  • Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
  • Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
  • Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWSPythonSQLArtificial IntelligenceCloud ComputingETLMachine LearningMLFlowCross-functional Team LeadershipAPI testingData engineeringData scienceREST APICommunication SkillsData visualizationStakeholder managementData analytics

Posted about 9 hours 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 about 11 hours ago
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πŸ“ United States, Latin America, India

πŸ” Software Development

  • At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
  • 4-year Bachelor's degree in Computer Science or a related field
  • Experience deploying machine learning models in a production setting
  • Expertise in Python, Scala, Java, or another modern programming language
  • The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Hands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etc.
  • Familiarity with multiple data sources (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)
  • Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera)
  • Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR)
  • Development of APIs and web server applications (e.g. Flask, Django, Spring)
  • Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
  • Excellent communication and presentation skills; previous experience working with internal or external customers
  • Design and create environments for data scientists to build models and manipulate data
  • Work within customer systems to extract data and place it within an analytical environment
  • Learn and understand customer technology environments and systems
  • Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
  • Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights
  • Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
  • Partner with data scientists to ensure solution deployabilityβ€”at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
  • Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
  • Ensure the quality of the delivered product

AWSDockerPythonSoftware DevelopmentSQLCloud ComputingData AnalysisETLHadoopJavaKerasKubernetesMachine LearningMLFlowSnowflakeSoftware ArchitectureAlgorithmsAPI testingData engineeringData scienceREST APISparkTensorflowCommunication SkillsAnalytical SkillsCI/CDLinuxDevOpsPresentation skillsExcellent communication skillsScalaData modelingDebugging

Posted about 13 hours ago
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