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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)
Posted about 4 hours ago

📍 Portugal

🧭 Full-Time

🔍 Real Estate Tech

🏢 Company: Grupo QuintoAndar

  • Solid understanding of the engineering challenges of deploying machine learning systems to production
  • Proficiency with cloud-based services
  • Proficiency in Python or another major programming language
  • Have experience building backend systems, event driven architectures and rest/http applications
  • Have experience building solutions with LLMs (RAG, fine-tuning)
  • Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI)
  • Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
  • Be a technical reference to the team, including doing hands-on engineering work.
  • Shaping the technical direction of our products, translating business requirements into solutions.
  • Discuss business requirements with the Product Manager and other stakeholders.

AWSBackend DevelopmentDockerLeadershipPythonSoftware DevelopmentSQLApache AirflowCloud ComputingFlaskKubernetesMachine LearningNumpyData engineeringData scienceRDBMSREST APIPandasCommunication SkillsCI/CDRESTful APIs

Posted about 4 hours ago
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🔥 Sr. Software Engineer
Posted about 7 hours ago

📍 United States

💸 150000.0 - 180000.0 USD per year

🔍 Healthcare Fintech

  • 5+ years of experience in backend development with Java.
  • Strong understanding of object-oriented programming and design patterns.
  • Knowledge of relational databases and SQL.
  • Proficient in version control systems like Git.
  • Design, develop, and maintain backend systems.
  • Collaborate with cross-functional teams to define and implement new features.
  • Optimize applications for maximum speed and scalability.
  • Ensure the technical feasibility of backend designs.
  • Write clean, maintainable, and efficient code.
  • Troubleshoot and debug applications.
  • Stay up-to-date with emerging technologies and industry trends.

Backend DevelopmentSQLDesign PatternsGitJavaSpring BootJava Enterprise EditionRDBMSRESTful APIsDebugging

Posted about 7 hours ago
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🔥 Junior FullStack Engineer
Posted about 8 hours ago

📍 São Paulo, BR / Bogotá, CO / Santiago, CL / Buenos Aires, AR

🧭 Full-Time

🔍 Software Development

🏢 Company: Olly Olly👥 251-500Digital MarketingAdvertisingSEOWeb DevelopmentWeb Design

  • 0 to 2 years of experience with a Bachelor's Degree in Computer Science or Software Engineering (relevant experience or bootcamps may be considered instead of education).
  • Knowledge of frontend frameworks or libraries. Bonus if you have experience with Flutter.
  • Knowledge of RDBMSs. Bonus if you have experience with PostgreSQL. Double bonus if you have experience with Supabase.
  • Strong problem-solving skills and the ability to work well in a team environment.
  • Proficiency in the English language, both written and verbal, is sufficient for success in a remote and asynchronous work environment.
  • Work with Flutter/Dart to build a multi-platform product that will positively impact the lives of small business owners every day.
  • Develop, design, and maintain scalable web and mobile applications.
  • Write clean, efficient, well-documented, maintainable code.
  • Collaborate with cross-functional teams to design, develop, test, and deploy code.
  • Troubleshoot and debug production issues.

PostgreSQLSoftware DevelopmentFlutterFrontend DevelopmentFull Stack DevelopmentAlgorithmsData StructuresRDBMSRESTful APIsDebugging

Posted about 8 hours ago
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🔥 Analista/Desarrollador Talend Senior
Posted about 18 hours ago

📍 Colombia, Peru, Argentina, Chile, Mexico

🧭 Full-Time

🏢 Company: Multiplica Talent👥 101-250Staffing AgencyOutsourcingInformation TechnologyRecruiting

  • Experiencia senior como Analista o Desarrollador/a Talend.
  • Sólidos conocimientos en Talend y desarrollo de procesos ETL.
  • Manejo avanzado de SQL y bases de datos relacionales.
  • Diseñar, desarrollar e implementar procesos ETL utilizando Talend.
  • Analizar requerimientos técnicos y funcionales para transformar datos desde distintas fuentes.
  • Colaborar con equipos de BI y negocio para asegurar la calidad y disponibilidad de los datos.
  • Optimizar procesos y garantizar el rendimiento de las cargas de datos.
  • Documentar soluciones técnicas y flujos de integración.

SQLBusiness IntelligenceData AnalysisETLRDBMS

Posted about 18 hours ago
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🔥 Solutions Engineer, Healthcare Claims Pricing & Contract Analytics
Posted about 19 hours ago

📍 United States

🧭 Full-Time

💸 125000.0 - 145000.0 USD per year

🔍 Healthcare

🏢 Company: Turquoise Health👥 101-250💰 $30,000,000 Series B over 1 year agoMedicalHealth CareSoftware

  • 3+ years of experience in revenue cycle or healthcare consulting in a technical/analytical role
  • In-depth knowledge of payer-provider contracting, reimbursement mechanisms, claims pricing, hospital revenue cycle and factors contributing to the cost of healthcare
  • Strong SQL skills are a must. Experience with other analytical languages and BI tools is a plus
  • A high standard for quality assurance of your own work product and the work product of other members of the team
  • Your analytical, problem-solving, mathematical, and creative thinking skills will be instrumental in driving impactful solutions
  • Excellent organizational and communication skills to work well both with internal stakeholders while also having the ability to create strong customer relationships
  • A drive to put out consistent high-quality/accurate work at a fast pace
  • Communication and collaboration skills across seniority levels and functions.
  • Be the go-to expert, partnering with customers to understand their data and reporting requirements, and effectively translating them to our engineering team
  • Work hand in hand with the Product Team, Data Scientists, and Software Engineers, ensuring customer feedback drives our product development
  • Own the creation of machine-readable files for hospital and health system customers
  • Leverage your knowledge of contract pricing mechanisms to help customers analyze their payer-provider contracts and rates
  • Tackle critical business and infrastructure issues through ad hoc analysis, insightful requests, and data extraction
  • Deepen your understanding of Turquoise’s product suite and customer use cases to find new opportunities for product builds
  • Undertake special projects from the Product, Sales or Customer Success teams to ideate on features, push forward active deals, and strengthen customer relationships
  • Provide comprehensive analytics support, empowering customers with self-service tools and resources to access data
  • Seek and prioritize technical feedback by engaging with customers

SQLData AnalysisRDBMSCommunication SkillsAnalytical SkillsCollaborationProblem SolvingCustomer serviceRESTful APIsAccount ManagementData visualizationData modelingData managementCustomer Success

Posted about 19 hours ago
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🔥 Enterprise Data Architect
Posted 1 day ago

📍 United Kingdom

🧭 Full-Time

🔍 Insurance

🏢 Company: dxcjobs

  • Experience in defining high quality Logical Data Models and gaining approval for such models in a complex stakeholder environment.
  • Experience of stakeholder management including senior stakeholders, 3rd party partners and standards organisations.
  • Experience of working with industry standard data models and extending those models to support business requirements.
  • Experience of working in an insurance business domain and with insurance logical data models, including commercial insurance.
  • Experience with a wide variety of technical domains from green field microservice architectures to workflow management systems, integration tooling and mainframe.
  • Experience of Logical Physical data mapping and of large-scale transformation projects moving from complex legacy system domains to modern digital applications.
  • Experience of defining transition plans and road maps for data migration, including both bulk and gradual migration.
  • Experience of defining patterns for and implementing BI/MI, analytics, and machine learning on large-volume datasets.
  • Experience of data designing and implementing data security policies and regulatory compliance.
  • Experience of defining and implementing governance processes for data management.
  • Experience of working with external standards organisations.
  • Experience of working with TOGAF framework.
  • Define and manage an Enterprise Data Strategy, supporting the business strategy and objectives.
  • Conduct detailed analysis of business processes, requirements, and scenarios to produce high quality Logical Data Models and work with senior stakeholders, third party partners, and standards organisations to gain approval for finished artefacts.
  • Work with and customise Industry Standard Logical Data Models to produce and maintain models tailored to the specific business domain.
  • Define, document and maintain business value chain for enterprise data.
  • Analyse business processes to identify and document key data dependency through key end-to-end business process flows.
  • Work with internal and external development teams and technical architects to drive logical service architecture design, external API contract design, and internal physical data model design.
  • Work with Technical BA's to analyse existing system behaviour, data models and business process implementations to facilitate logical to physical data mapping into existing systems to drive system integration designs and data transformation.
  • Design data models and patterns for downstream data exposure to facilitate accessibility for and analytics, BI, MI and reporting, both internal and external.
  • Work with external 3rd party standards bodies to define and maintain global messaging standards.
  • Based on business process analysis, understand and document life cycles of key data entities and define non-functional requirements for data consistency, integrity, availability, latency, and auditability.
  • Work with Security Architects to define and agree on data security classifications for data defined in data models.
  • Define and manage data governance framework for the program and work with existing architecture team to hand into BAU.

SQLBusiness IntelligenceData MiningETLAlgorithmsAPI testingData engineeringData StructuresRDBMSRESTful APIsMicroservicesData visualizationStakeholder managementData modelingData analyticsData management

Posted 1 day ago
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🔥 Staff Data Engineer
Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 158000.0 - 239000.0 USD per year

🔍 Software Development

🏢 Company: 1Password

  • Minimum of 8+ years of professional software engineering experience.
  • Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages.
  • In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies.
  • Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing.
  • Experience with Big Data query engines such as Hive, Presto, Trino, Spark.
  • Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
  • Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
  • Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
  • Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.
  • Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience.
  • Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages.
  • Build scalable data pipelines using best-in-class software engineering practices.
  • Develop optimal data models for storage and retrieval, meeting critical product and business requirements.
  • Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security.
  • Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services.
  • Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions.
  • Influence and evangelize high standard of code quality, system reliability, and performance.

AWSPythonSQLETLGCPJavaKubernetesMySQLSnowflakeAlgorithmsApache KafkaAzureData engineeringData StructuresPostgresRDBMSSparkCI/CDRESTful APIsMentoringScalaData visualizationData modelingSoftware EngineeringData analyticsData management

Posted 2 days ago
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🔥 Data Engineer - Snowflake & Azure (Remote - Mexico & LATAM)
Posted 2 days ago

📍 Mexico

🔍 Software Development

🏢 Company: DaCodes

  • Experience working with Snowflake, Oracle, Docker, and DAG tools such as Dagster or Airflow.
  • Solid knowledge of SQL and Python.
  • Solid knowledge of database handling and monitoring, as well as implementation and maintenance of DWH according to best practices in data handling.
  • Prior experience in the design and management of cloud infrastructure, preferably Azure.
  • Strong analytical and problem-solving skills.
  • Ability to work in a team environment and communicate effectively.
  • Implement and maintain data infrastructure in Snowflake and Azure.
  • Develop and optimize Oracle databases, both on-premise and in the cloud.
  • Create and manage efficient and scalable data workflows, implementing and using DAG tools like Dagster and Airflow.
  • Monitor the performance of the data infrastructure and make adjustments as needed.
  • Manage with key stakeholders on data traceability and consumption.
  • Ensure data integrity, availability, and security.
  • Solve technical problems and provide continuous support for operational data systems.
  • Work closely with data scientists and analysts to understand their data needs and develop appropriate solutions.
  • Participate in the planning and execution of data integration and migration projects.
  • Document processes and maintain updated records of the data infrastructure.

DockerPythonSQLCloud ComputingETLMicrosoft AzureOracleSnowflakeAirflowData engineeringRDBMSData modeling

Posted 2 days ago
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🔥 Senior Software Engineer, Groove Analytics
Posted 3 days ago

📍 United States

🧭 Full-Time

💸 150000.0 - 225000.0 USD per year

🔍 Software Development

  • 5+ years of professional experience in software development using frameworks such as Ruby on Rails, Python/Django, Java/J2EE
  • Experience in optimizing large-scale applications, specifically those processing millions of daily transactions and managing terabyte-sized databases
  • Professional web application development experience, with a focus on the heavy utilization of either commercial or open-source web application frameworks
  • Fluent in web services/API standards like REST and GraphQL
  • Familiarity with continuous integration and continuous deployment pipelines
  • Experience in professional RDBMS development, with an emphasis on complex SQL, DML, DDL, and well-architected schemas
  • Direct experience with PostgreSQL would be advantageous
  • Familiarity with NoSQL technologies such as Cassandra, MongoDB, Hadoop, HDFS, HBase, Pig, Hive, Redis, MemcacheD, and Redshift is a plus
  • Experience with Salesforce development tools like Apex, LWC, Visualforce, and SOQL is a plus
  • Architect, design, develop, and maintain efficient, reusable, and reliable code
  • Collaborate with cross-functional teams to define, design, and implement new features
  • Mentor and guide junior engineers, promoting software development best practices
  • Conduct thorough code reviews ensuring code quality and consistent coding standards
  • Provide technical leadership and contribute to architectural discussions and decisions
  • Identify bottlenecks, bugs, and devise solutions to address and mitigate these problems
  • Engage in system performance optimizations ensuring the fastest response times
  • Assist in setting technical direction and long-term strategy for future technology choices
  • Participate actively in Agile ceremonies, contributing to sprint planning and task estimation
  • Document software designs and project tasks, ensuring clarity and maintainability

Backend DevelopmentGraphQLPostgreSQLPythonSoftware DevelopmentSQLAgileFull Stack DevelopmentJava J2EERuby on RailsAPI testingRDBMSREST APINosqlCI/CDSoftware EngineeringDebugging

Posted 3 days ago
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🔥 Senior Software Test Engineer (Manual)
Posted 3 days ago

📍 India

🏢 Company: Saaf Finance

  • 3+ years experience as a Software Test Engineer (Manual) or in a similar role.
  • Strong understanding of software development lifecycle (SDLC) and testing methodologies.
  • Ability to prioritize bugs based on their severity, impact, and business needs.
  • Experience with bug-tracking tools like Trello, JIRA, Asana, or similar.
  • Excellent analytical skills with attention to detail.
  • Strong communication skills for effective collaboration across teams.
  • Ability to work independently and as part of a distributed team.
  • Hands-on experience with API testing, including tools like Postman or similar.
  • Hands-on experience with database testing, verifying data integrity, and writing simple SQL queries.
  • Familiarity with automation testing tools or willingness to collaborate closely with the automation team.
  • Perform manual testing of web applications to ensure quality and functionality.
  • Identify, record, and track bugs and defects using appropriate tracking tools.
  • Prioritize bugs based on severity, impact, and urgency to ensure critical issues are addressed first.
  • Collaborate with developers, product managers, and other team members to understand project requirements and ensure clear communication of issues.
  • Develop and execute test cases, test plans, and test scripts to identify software issues.
  • Conduct regression, functional, and user acceptance (UAT) tests.
  • Verify that new features meet acceptance criteria and are working as expected.
  • Report test results, provide feedback, and participate in daily stand-ups to communicate project status.
  • Stay updated with testing methodologies and tools to continuously improve testing processes.
  • Work closely with the automation QA team to ensure that test coverage is comprehensive.
  • Test backend processes, ensuring that data is correctly saved, updated, and retrieved in the database.
  • Perform API testing to verify the integration between frontend and backend services, ensuring the API endpoints function as expected and return correct data.
  • Verify database records and check if they reflect expected changes after different user actions.

SQLJiraAPI testingManual testingRDBMSREST APIRegression testingTestRailCommunication SkillsAnalytical SkillsAgile methodologiesJSONQuality Assurance

Posted 3 days ago
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