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Data engineering
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🧭 Full-Time

πŸ’Έ 185000.0 - 315000.0 USD per year

πŸ” Financial Operations

🏒 Company: RampπŸ‘₯ 501-1000πŸ’° $150,000,000 Series D 11 months agoFinancial ServicesFinanceFinTech

  • Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
  • Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
  • Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
  • Strong knowledge of SQL (preferably Snowflake, BigQuery)
  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
  • Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
  • Prototype and productionalize machine learning models and rules-based systems to protect user accounts
  • Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
  • Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend DevelopmentPythonSQLMachine LearningNumpyPyTorchSnowflakeData engineeringPandasData modelingSoftware Engineering

Posted about 3 hours 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 about 4 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ” E-commerce

🏒 Company: Birdy GreyπŸ‘₯ 51-100πŸ’° Seed over 5 years agoE-CommerceWeddingFashion

  • 12+ years of engineering experience, with at least 5+ years in supply chain, logistics, or backend systems, including ERP integrations
  • Proven leadership experience managing distributed engineering teams, including offshore development teams in China.
  • Expert in cloud architecture and deployment, particularly within Google Cloud Platform (GCP).
  • Strong background in API development, microservices architecture, and enterprise system integrations.
  • Deep understanding of SQL, NoSQL, data lakes, and real-time streaming technologies.
  • Experience building and optimizing order management, warehouse management, and fulfillment systems.
  • Strong problem-solving skills, with the ability to navigate complexity and drive results.
  • Fluency in Mandarin and English, with the ability to lead technical discussions and collaboration between U.S. and China teams.
  • Develop and own the technical architecture for backend, supply chain, and fulfillment systems, ensuring seamless integration between ERP, OMS, WMS, MPS, and 3PLs.
  • Build and scale a high-performing engineering team, overseeing hiring, mentorship, and professional development.
  • Lead the development and deployment of API-based integrations that automate order flows, inventory updates, and logistics management.
  • Implement real-time monitoring, data validation, and anomaly detection to enhance system reliability and security.
  • Develop scalable microservices architecture to support high-volume SKU management and complex production workflows.
  • Oversee data engineering efforts, ensuring that all order, inventory, and logistics data is synchronized in real-time across platforms.
  • Collaborate with cross-functional stakeholders, including Product, Supply Chain, Ops, and Finance, to ensure technology aligns with business objectives.
  • Drive best practices in cloud infrastructure, focusing on Google Cloud Platform (GCP), Docker, Kubernetes, and CI/CD pipelines.
  • Develop technical roadmaps and strategy, aligning long-term engineering vision with business goals.

Backend DevelopmentDockerLeadershipProject ManagementSQLCloud ComputingGCPKubernetesPeople ManagementAPI testingData engineeringREST APICI/CDMicroservicesTeam managementData modeling

Posted about 5 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”₯ Lead/Senior Data Engineer
Posted about 8 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 8 hours ago
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πŸ”₯ Chief Technology Officer
Posted about 8 hours ago

πŸ“ United States

🧭 Full-Time

πŸ” Proprietary Trading

🏒 Company: Serv Recruitment Agency

  • Deep understanding of high-frequency trading (HFT) systems – You should be familiar with the complexities of low-latency execution, order matching, risk management, and market data processing.
  • Scalable architecture experience – You must have built or significantly scaled high-throughput transactional systems that process tens of thousands of transactions per second.
  • Proficiency in C# – Our core trading platform runs on C#, so hands-on experience is critical. Bonus points for experience with low-latency programming, networking, and performance tuning.
  • Cloud-native development and infrastructure – You should be well-versed in AWS, GCP, or Azure, using containerization (Docker, Kubernetes) to orchestrate scalable environments.
  • API & system integration – Experience designing, optimizing, and securing APIs for high-performance data exchange is essential.
  • Defining and executing a technical strategy to scale our platform from 1,500 transactions per hour to 50,000 transactions per hour, ensuring low latency, high availability, and fault tolerance.
  • Building and leading an in-house tech team (US-based or global) to reduce reliance on third-party development teams.
  • Architecting and optimizing a scalable infrastructure using cloud platforms (AWS, GCP, Azure) and containerization (Kubernetes, Docker).
  • Developing and enforcing best practices for software development, DevOps, security, and high-frequency trading (HFT) systems.
  • Ensuring system reliability and performance, implementing stress tests, monitoring tools, and establishing strict SLAs for transaction execution.
  • Collaborating with executives and investors to align technology strategy with business growth objectives.
  • Reducing external dependencies by developing proprietary trading technology that provides TPT with a competitive edge.

AWSBackend DevelopmentDockerLeadershipProject ManagementSoftware DevelopmentSQLCloud ComputingGCPGitKubernetesSoftware ArchitectureC#Cross-functional Team LeadershipBusiness OperationsFinancial ManagementAlgorithmsAzureData engineeringData StructuresCommunication SkillsCI/CDProblem SolvingRESTful APIsLinuxDevOpsMicroservicesRisk ManagementTeam managementStrategic thinking

Posted about 8 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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