Full-Stack Developer Jobs

Data management
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πŸ”₯ Enterprise Data Architect
Posted about 5 hours ago

πŸ“ GBR

🧭 Full-Time

πŸ” 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 IntelligenceCloud ComputingData MiningETLAPI testingData engineeringREST APIMicroservicesData visualizationStakeholder managementData modelingData analyticsData management

Posted about 5 hours ago
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πŸ“ United States of America

πŸ’Έ 138600.0 - 257400.0 USD per year

πŸ” Pharmaceutical

  • BA/BS degree in Life Science, Business, Statistics, Finance or Operations related field (Master's or PhD preferred)
  • 5+ years of experience in pharmaceutical development, preferably in Clinical Research
  • Planning/execution or project management a plus
  • Fluency in Portuguese and/or Spanish desired
  • Demonstrated thorough change agile mindset
  • Experienced in Operations and Strategy of pharmaceutical development processes and in technical approaches
  • Experience in performance management and productivity projects (incl. application of quantitative approaches to redesigning processes, improving productivity and/or improving efficiency)
  • Thorough understanding of the international aspects of drug development process incl. international standards (GCP/ICH), health authorities (FDA/EMA), local/National Health Authorities regulations.
  • Excellent strategic thinking skills, ability to manage multiple projects, flexibility to quickly adapt priorities according to business and strategic needs
  • Demonstrated experience in matrix organizations and ability to influence without authority
  • Strong communication, presentation and networking skills
  • Drive the translation, implementation, and execution of the global strategic plan at the hub level.
  • Develop business continuity strategic initiatives and programs in the hub, collaborating closely with the countries.
  • Support global/hub information and transformation initiatives, change management, and SSO evolution, including culture and mindset change.
  • Ensure standardized and best-in-class solutions and systems are implemented across the hub.
  • Build strategic partnerships with internal and external stakeholders.
  • Drive innovation and change management processes, identifying strategic solutions to improve clinical study execution.
  • Compile and highlight country feedback and insights to the Global S&O community, ensuring country needs are incorporated into the global/hub strategy as needed.
  • Collect, compile, and communicate feedback from/to internal and external stakeholders.

Project ManagementData AnalysisProject CoordinationCross-functional Team LeadershipOperations ManagementStrategyStrategic ManagementCommunication SkillsAnalytical SkillsWritten communicationRisk ManagementTeam managementFinancial analysisData managementChange ManagementBudget management

Posted about 5 hours ago
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πŸ“ United States of America

πŸ” Pharmaceutical

🏒 Company: DSIπŸ‘₯ 5001-10000ConsultingSecurityProfessional Services

  • 7 or more years training and compliance background and strong knowledge of FDA and EU regulatory requirements, industry audit processes, and Data Management best practices required.
  • 7 or more years' experience in clinical data management experience in a medical device, pharmaceutical company, or similar environment (e.g., CRO); oncology, immunology, or complex disease preferred
  • 7 or more years of working knowledge of Clinical trial data systems and/or EDC lab management tools is a preferred
  • Leads development and implementation of Data Management departmental strategy and solutions related to process development, improvement, and training.
  • Lead and coordinate development of DM processes and templates and ensure consistent execution of tasks and activities across programs.
  • Prepare internal teams for audits and compliance.

Project ManagementGCPCommunication SkillsAnalytical SkillsWritten communicationComplianceInterpersonal skillsExcellent communication skillsProblem-solving skillsVerbal communicationTrainingCross-functional collaborationRisk ManagementTeam managementStakeholder managementProcess improvementData modelingData analyticsData managementChange Management

Posted about 6 hours ago
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πŸ”₯ Operations Engineer
Posted about 6 hours ago

πŸ“ United States

🧭 Full-Time

πŸ” Software Development

🏒 Company: ArrivedπŸ‘₯ 1-50

  • Software engineering background with strong programming skills in Python, SQL, and modern development practices
  • Experience building and maintaining production data systems, APIs, or backend services
  • Hands-on experience with data pipeline tools (dbt, Fivetran, or similar)
  • Strong SQL skills and experience with data warehouses (Snowflake)
  • Build production data systems – design and implement scalable data pipelines, ETL processes, and APIs that handle structured and unstructured data from multiple sources
  • Develop internal applications – write maintainable code for internal tools, automation services, and integrations
  • Own system architecture – make technical decisions about data flow, system design, and technology stack choices that balance immediate needs with long-term scalability

AWSBackend DevelopmentProject ManagementPythonSQLETLSnowflakeAlgorithmsAPI testingData engineeringData StructuresREST APICommunication SkillsCI/CDRESTful APIsDevOpsData visualizationData modelingSoftware EngineeringData analyticsData management

Posted about 6 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 70000.0 - 100000.0 USD per year

πŸ” SaaS

🏒 Company: Recite MeπŸ‘₯ 51-100πŸ’° $5,784,039 6 months agoInternetWeb BrowsersSoftware

  • Minimum 3 years experience in a Partnerships role, ideally within a SaaS business
  • Minimum 2 years experience in a B2B sales role is advantageous
  • Demonstrable record of hitting targets
  • Confidence in a target-driven environment
  • Excellent time-management and strong project planning
  • Hunting and developing new partner leads
  • Requirement-gathering
  • Presenting to partners and their networks/customers
  • Building and managing a pipeline of partner opportunities
  • Negotiating with current and potential partners
  • Great storytelling, capable of composing engaging content
  • Managing technical discussions with 3rd parties to establish software integrations

SalesforceRESTful APIsAccount ManagementNegotiation skillsSales experienceLead GenerationCRMData managementSaaS

Posted about 7 hours ago
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πŸ”₯ Risk Enablement Specialist
Posted about 7 hours ago

πŸ“ United States of America

🧭 Full-Time

πŸ’Έ 72000.0 - 90000.0 USD per year

πŸ” Gaming

🏒 Company: DraftKingsπŸ‘₯ 1001-5000πŸ’° $600,000,000 Post-IPO Debt 3 months agoπŸ«‚ Last layoff 7 months agoGamingFantasy SportsSportsOnline Games

  • Strong background in data analysis and problem-solving.
  • Proficient in Microsoft Office and/or Google Workspace; Tableau experience a plus.
  • Proven urgency, accountability, and attention to detail.
  • Collaborative, goal-oriented team player with excellent communication skills.
  • Flexible schedule; able to work non-standard hours.
  • Align risk enablement efforts with regulatory and business goals through cross-functional collaboration.
  • Improve operational efficiency by removing compliance and regulatory barriers to risk mitigation.
  • Maintain up-to-date Risk Alerts, policies, and procedures in line with evolving regulations and standards.
  • Present regulatory risk insights to leadership, highlighting trends, exposures, and action plans.
  • Recommend process improvements using compliance data and frontline feedback to enhance execution.

Data AnalysisTableauCommunication SkillsMicrosoft ExcelProblem SolvingMicrosoft OfficeComplianceRisk ManagementData visualizationData modelingData analyticsData management

Posted about 7 hours ago
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πŸ”₯ Senior Analytics Engineer
Posted about 7 hours ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 150000.0 - 200000.0 USD per year

πŸ” Energy

🏒 Company: ArcadiaπŸ‘₯ 501-1000πŸ’° $125,000,000 over 2 years agoDatabaseCleanTechRenewable EnergyClean EnergySoftware

  • 4+ years as an Analytics Engineer or equivalent role; experience with dbt is strongly preferred
  • 6+ years, cumulatively, in the data space (data engineering, data science, analytics, or similar)
  • Expert-level understanding of conceptual data modeling and data mart design
  • An understanding of data structures and/or database design plus deep experience with SQL and Python
  • Experience building data pipelines and database management including Snowflake or similar
  • Ability to bring a customer-oriented and empathetic approach to understanding how data is used to drive the business
  • Experience in technical leadership or mentorship
  • Strong communication and collaboration skills
  • Proven ability to solve complex problems in a dynamic and evolving environment
  • Transform, test, deploy, and document data to deliver clean and trustworthy data for analysis to end-users
  • Collaborate with subject matter experts, engineers, and product managers to identify the most elegant and effective data structures to understand our constantly growing and evolving business
  • Help bring engineering best practices (reliability, modularity, test coverage, documentation) to our DAG and to our Data team generally
  • Collaborate with data engineers to build robust, tested, scalable ELT pipelines.
  • Data modeling: model raw data into clean, tested, and reusable datasets to represent our key business data concepts. Define the rules and requirements for the formats and attributes of data
  • Data transformation: build our data lakehouse by transforming raw data into meaningful, useful data elements through joining, filtering, and aggregating source dataData documentation: create and maintain data documentation including data definitions and understandable data descriptions to enable broad-scale understanding of the use of data
  • Employ software engineering best practices to write code and coach analysts and data scientists to do the same

AWSPythonSQLData AnalysisETLGitSnowflakeData engineeringData StructuresCommunication SkillsAnalytical SkillsCollaborationData visualizationData modelingData management

Posted about 7 hours ago
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πŸ“ United States, Canada

🧭 Full-Time

πŸ’Έ 118300.0 - 147800.0 USD per year

πŸ” Software Development

🏒 Company: TwilioπŸ‘₯ 5001-10000πŸ’° $378,215,525 Post-IPO Equity almost 4 years agoπŸ«‚ Last layoff over 1 year agoMessagingSMSMobile AppsEnterprise SoftwareSoftware

  • 3+ years of success in a solutions engineering (presales) role with 6+ years of progressive professional experience supporting technical products.
  • Experience with Data Engineering, Cloud Data Warehouses, Data Modeling, and APIs
  • Experience with marketing technology such as marketing automation, personalization, journey orchestration, or advertising.
  • Partner with Account Executives to execute pre-sales activities including opportunity qualification, discovery, demonstrations, Proof-of-Concept, RFP responses,and justifying business value.
  • Become an expert builder and evangelist of Segment’s products and partner ecosystem.
  • Lead technical evaluations with our prospects to uncover their goals and technical pain, in order to design, demonstrate and present innovative solutions that unlock business-level gains.
  • Develop subject matter expertise on Customer Data Platforms (CDPs) and Segment’s role within the customer data ecosystem.
  • Act as a trusted advisor to consult with customers and prospects in order to influence their customer data strategy and architecture design.
  • Build a perspective on customer and market trends by listening to prospects and advocating for customer interests to influence Segment’s strategy and vision.

AWSCloud ComputingETLData engineeringData scienceCommunication SkillsProblem SolvingRESTful APIsSales experienceMarketingData modelingScriptingData analyticsData managementCustomer Success

Posted about 8 hours ago
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πŸ”₯ HR Support
Posted about 10 hours ago

πŸ“ Colombia, Argentina, Puerto Rico, Peru

🏒 Company: MedVAπŸ‘₯ 1001-5000Virtual AssistantMedicalDentalHealth Care

  • Excellent communication skills
  • Background as an HR generalist
  • Excellent organizational skills
  • Strong communication abilities
  • A passion for helping create a positive employee experience
  • Maintain and update employee records in the HRIS (Human Resource Information System)and ensure data accuracy.
  • Assist with the preparation and processing of HR documentation such as employment agreements, new hire paperwork, and termination records.
  • Ensure timely and accurate processing of employee changes, including promotions, transfers, and terminations.
  • Support compliance with company policies and employment laws, ensuring all employee documentation is current and properly stored.
  • Coordinate and facilitate the onboarding process for new employees, including sending welcome emails, gathering required paperwork, and ensuring timely completion of all forms.
  • Assist with scheduling new hire orientation sessions and coordinate access to necessary systems and tools.
  • Support offboarding processes, including exit interviews, collecting company property, and updating systems to reflect employee departures.
  • Provide administrative support for employee benefits, assisting with open enrollment periods, employee inquiries, and benefits changes.
  • Ensure employee payroll data (such as changes to direct deposit or tax status) is updated and accurate in the system.
  • Answer basic employee inquiries regarding payroll and benefits, escalating complex issues to the HR Manager when necessary.
  • Assist with job postings, candidate tracking, and scheduling interviews with potential new hires.
  • Communicate with candidates about the status of their application and coordinate next steps in the hiring process.
  • Help ensure a positive candidate experience by providing timely communication and supporting interview logistics.
  • Act as a point of contact for employee questions regarding policies, benefits, and general HR inquiries.
  • Support HR in fostering a positive workplace environment by addressing basic employee concerns and escalating more complex issues to the HR Manager.
  • Assist in the planning and coordination of employee engagement initiatives, such as virtual events, wellness activities, and training sessions.
  • Run routine reports from the HRIS for tracking employee data, such as leave balances, performance reviews, and compliance metrics.
  • Ensure employee files are maintained and up to date, with attention to confidentiality and secure storage.
  • Assist with the preparation of HR documentation for audits, ensuring compliance with internal policies and external regulations.
  • Provide general administrative support to the HR department, including scheduling meetings, preparing documents, and managing HR-related communications.
  • Help coordinate HR training sessions, webinars, and other virtual team-building activities.
  • Perform other HR-related duties as assigned to support the smooth functioning of the department.

HR ManagementCommunication SkillsMicrosoft ExcelMicrosoft OfficeOrganizational skillsWritten communicationComplianceProblem-solving skillsReportingActive listeningRecruitmentData entryData management

Posted about 10 hours ago
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πŸ”₯ Field Data Processor
Posted about 10 hours ago

πŸ“ United States, Mexico, Philippines

🏒 Company: HireframeπŸ‘₯ 101-250Management ConsultingConsultingSalesProfessional Services

  • Bachelor’s degree in Data Science, Statistics, Marketing, Social Sciences, or related field.
  • 2-4 years of experience in a data processing or similar role.
  • Proficiency in Excel and at least one data processing/statistical tool (SPSS, R, Python, or similar).
  • Familiarity with survey data and understanding of market research methodologies.
  • Clean raw datasets from survey platforms.
  • Standardize and reformat raw data.
  • Create frequency tables, cross-tabulations, and summary statistics.
  • Apply weights to datasets and generate frequency tables and crosstabs.
  • Combine data from multiple sources.
  • Prepare clean, well-labeled datasets and export them to specified formats with accompanying documentation.
  • Conduct systematic checks to ensure data accuracy and completeness.
  • Work closely with research analysts, project managers, and survey programmers.
  • Manually or semi-automatically categorize qualitative text responses.
  • Use scripting languages or tools to automate repetitive tasks

PythonSQLMarket ResearchData visualizationScriptingData analyticsData management

Posted about 10 hours ago
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