Remote IT Jobs

Remoote.app offers a wide selection of remote IT jobs from home for specialists of all levels – from beginners to seasoned professionals. Here, you’ll find full-time, part-time, contract-based positions, and internships. Register on the platform today and find your dream job in IT!

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🔥 Certified Workday Prism Consultant

Posted about 5 hours ago

📍 Brazil

🧭 Contract

🏢 Company: Kastech Canada Inc

🔧 Requirements

Workday Prism Analytics Certification (Required)
4+ years of hands-on experience with Workday Prism, including at least (3) end-to-end implementations
Strong experience working with Workday Report Writer, Calculated Fields, and Composite Reporting
Solid understanding of ETL concepts, data modeling, and transformation logic
Proficient in Workday Security setup related to data sources and reports
Comfortable working independently in a remote, client-facing role
Experience integrating Prism with Workday HCM, Finance, or Payroll is a plus

💡 Responsibilities

Lead the implementation and configuration of Workday Prism Analytics solutions
Collaborate with business and technical teams to gather data and reporting requirements
Design and build scalable data pipelines and transformations using Prism data sets
Develop secure and optimized data models, reports, and dashboards
Configure Workday security for Prism data sets to ensure appropriate data access
Integrate Prism with other Workday modules (HCM, Financials, etc.) and external systems
Troubleshoot data load issues and performance bottlenecks
Support data governance and validation processes
Provide post-implementation support and knowledge transfer to client teams

ETL Data modeling

Posted about 5 hours ago

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🔥 DBA Engineer

Posted about 8 hours ago

🔍 Fintech

🏢 Company: MIRA- Search

🔧 Requirements

5+ years of experience as a Database Administrator (DBA) or Data Engineer.
Expertise in PostgreSQL, MySQL, Redis, and NoSQL databases.
Experience in high-load, low-latency systems.
Hands-on experience with database replication, partitioning, and sharding.
Strong knowledge of SQL query optimization and indexing strategies.
Familiarity with cloud-based database solutions (AWS, GCP, Azure).
Understanding of data security best practices and compliance.
Experience with real-time data processing and analytics.

💡 Responsibilities

Design, maintain, and optimize high-performance relational and NoSQL databases for real-time trading operations.
Ensure low-latency data processing, scalability, and fault tolerance in a high-load environment.
Implement database replication, sharding, partitioning, and failover strategies.
Monitor and optimize query performance, indexing, and storage efficiency.
Work closely with backend engineers to develop scalable and resilient data architectures.
Ensure security and compliance of financial transaction data.
Troubleshoot performance issues, conduct root-cause analysis, and implement solutions.
Develop and maintain ETL pipelines for data processing and analytics.

AWS PostgreSQL SQL Blockchain ETL GCP MySQL Azure Redis Nosql Data analytics

Posted about 8 hours ago

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🔥 Senior Data Analyst

Posted about 13 hours ago

📍 United States

🧭 Full-Time

💸 152150.0 - 179000.0 USD per year

🔍 Mental Healthcare

🔧 Requirements

6+ years of full-time experience using data to surfacing key insights and recommendations from data, solving real world problems, and supporting decision making within growth, product, revenue, or operations teams
4+ years of full-time experience at a high-growth technology startup
Proficient in SQL, developing and documenting data models, and experience managing a modern BI tool like Metabase or Looker

💡 Responsibilities

Become a trusted strategic partner to our operations and business teams (growth, revenue, and customer success), and work with them to define analytics requirements, identify important questions, and help answer them with data.
Support the operational needs of business stakeholders by delivering high-quality output from data modeling and reverse ETL.
Collaborate with Data and Product Analysts, Data Engineers, Data Scientists, and stakeholders across the company to model data in a scalable way and present it in an impactful and digestible way that leads to better business decisions.
Tell compelling stories through data, articulating technical information to a non-technical audience

SQL Data Analysis ETL Data engineering Data science Communication Skills Analytical Skills Problem Solving RESTful APIs Cross-functional collaboration Data visualization Data modeling Data analytics

Posted about 13 hours ago

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🔥 Oracle Fusion Consultant, I2C & Revenue

Posted about 14 hours ago

📍 Canada

💸 107000.0 - 134000.0 CAD per year

🔍 Software Development

🔧 Requirements

Strong experience in AR, with additional knowledge of cash management and purchasing processes.
Strong experience with Oracle Fusion.
Proven ability to configure systems and provide actionable suggestions to stakeholders.
Strong analytical and problem-solving skills with attention to detail.
Excellent communication and collaboration skills to engage effectively with diverse teams and stakeholders.

💡 Responsibilities

Architect, Design and develop platform/product extensions, as per Oracle SAAS delivery methodology, that meets the additional functionality specified by the Business team.
Conduct design workshops, build proof of concepts, prototype of a working model for the effective design sign-off from the business
Learn the skills required to translate business problems into technical solutions as per Oracle fusion cloud AR and Revenue Cloud Service product roadmap.
Partner with process owners to define and benchmark operational KPI and to develop/deliver KPI dashboards and reports by using Oracle Transactional Business Intelligence (OTBI), Oracle Business Intelligence Publisher (BIP), etc
Plan, Design, develop, test and deploy Integrations involving systems like Oracle Fusion Cloud AR, Revenue Management Cloud Service, Highradius, Monkey, Salesforce, etc
Develop and deliver cost effective workflows per business requirements - to create journals, invoke SaaS APIs, to upload monthly usage billing, create reports for critical month end processes
Use developer tools and events for performing data loads and amendments
Configure and develop payment integrations to invoke APIs and create payments with external banks, payment platforms.
Manage KLO, upgrades, stories in sprint delivery
Mentor and lead junior consultants in the team to enable them to make project deliverables.
Provide support to the business team with the adoption approach around CPQ, QTC process
Develops and executes system conversion and implementations.

SQL Data Analysis ETL Oracle EBS Oracle ERP Oracle RDBMS Salesforce API testing RESTful APIs Accounting Data modeling SaaS

Posted about 14 hours ago

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🔥 Oracle Fusion Consultant, I2C & Revenue

Posted about 15 hours ago

📍 Canada

💸 107000.0 - 134000.0 CAD per year

🔍 Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

Strong experience in AR, with additional knowledge of cash management and purchasing processes.
Strong experience with Oracle Fusion.
Proven ability to configure systems and provide actionable suggestions to stakeholders.
Strong analytical and problem-solving skills with attention to detail.
Excellent communication and collaboration skills to engage effectively with diverse teams and stakeholders.

💡 Responsibilities

Architect, Design and develop platform/product extensions, as per Oracle SAAS delivery methodology, that meets the additional functionality specified by the Business team.
Conduct design workshops, build proof of concepts, prototype of a working model for the effective design sign-off from the business
Learn the skills required to translate business problems into technical solutions as per Oracle fusion cloud AR and Revenue Cloud Service product roadmap.
Partner with process owners to define and benchmark operational KPI and to develop/deliver KPI dashboards and reports by using Oracle Transactional Business Intelligence (OTBI), Oracle Business Intelligence Publisher (BIP), etc
Plan, Design, develop, test and deploy Integrations involving systems like Oracle Fusion Cloud AR, Revenue Management Cloud Service, Highradius, Monkey, Salesforce, etc
Develop and deliver cost effective workflows per business requirements - to create journals, invoke SaaS APIs, to upload monthly usage billing, create reports for critical month end processes
Use developer tools and events for performing data loads and amendments
Configure and develop payment integrations to invoke APIs and create payments with external banks, payment platforms.
Manage KLO, upgrades, stories in sprint delivery
Mentor and lead junior consultants in the team to enable them to make project deliverables.
Provide support to the business team with the adoption approach around CPQ, QTC process
Develops and executes system conversion and implementations.

SQL Business Analysis Business Intelligence Cloud Computing ETL Java Oracle EBS Oracle ERP Oracle RDBMS Financial Management API testing REST API CI/CD RESTful APIs Accounting Compliance Reporting Budgeting Data modeling Finance Data analytics Data management SaaS

Posted about 15 hours ago

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🔥 Analytics Engineer

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 115000.0 - 129000.0 USD per year

🔍 Education

🏢 Company: amplify_careers

🔧 Requirements

BS in Computer Science, Data Science, or equivalent experience.
3+ years of professional software development or data engineering experience
Strong computer, data, and analytics engineering fundamentals.
Proven fluency in SQL and its use in code-based ETL frameworks preferably dbt
Understanding of ETL/ELT pipelines, analytical data modeling, aggregations, and metrics
Strong understanding of analytical modeling architectures, including the Kimball dimensional data model design
Ability to clearly communicate and present technical concepts to a broad audience both verbally and in written form

💡 Responsibilities

Build well-tested and documented ELT data pipelines for both full and incremental dbt models to funnel into a fact and dimensional data mart.
Work closely with sales on logistics pipeline forecasting and sales pipeline tracking to help focus our sales teams in the right areas for the biggest impact.
Align with finance on making sure we have well audited data inline with established financial best practices.
Engineer novel datasets which express a student's progress and performance through an adaptive learning experience which allows for flexible comparison across students and deep analysis of individual students.
Work with the data science team to measure the impact of design changes on an administrator reporting application.
Contribute to leading industry data standards, such as Caliper Analytics, EdFi, or xAPI
Craft slowly changing dimensional models that take into account the nuances of K-12 education such as School Year changes and students moving schools or classes.

AWS PostgreSQL Python SQL Business Intelligence Data Analysis ETL Snowflake Tableau Airflow Data engineering Analytical Skills CI/CD Data visualization Data modeling Data analytics

Posted about 16 hours ago

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🔥 Senior AI Engineer

Posted about 16 hours ago

📍 Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud Computing SaaS Supply Chain Management Enterprise Software FinTech Software Procurement

🔧 Requirements

4-6+ years in a similar Machine Learning or Data Scientist role, including 2+ years experience in LLMs.
Proven experience as the first ML engineer or a similar role, demonstrating a strong ability to build ML and AI systems from the ground up.
Demonstrated experience building AI apps in production.
Proficiency in machine learning frameworks and libraries (e.g. Tensorflow, PyTorch, scikit-learn, Pandas)
Experience in building with LLMs such as GPT, Claude, Llama etc and strong understanding of LLM architectures and tools (Llamaindex, vector databases, Transformers, Langchain etc)
Experience with ETL/ELT tools, Data Lakehouse tech (Databricks, Python, Apache Spark, Hive, Parquet) and advanced SQL knowledge.
Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering.
Comfortable leading by example and using influence to drive collaboration, documentation, and knowledge sharing across teams and with a broad range of stakeholders.
Able to demonstrate initiative, work independently, and thrive with autonomy while collaborating across teams in a culture of priority setting and moving forward with urgency in alignment with our organizational strategy
Adept at focusing on multiple competing priorities, solving unique and complex technical problems, and persistently resolving blockers to progress
Familiar with DevOps and MLOps principles such as design for manageability and root cause analysis
Familiar working within leading software development best practices such as scrum/kanban, CI/CD, and test automation
A strong driver to stay ahead of the curve with GenAI research and apply those insights to build real-world applications.

💡 Responsibilities

Develop and refine autonomous agents leveraging generative AI to automate and streamline user workflows, enhancing operational efficiency and user experience.
Design, create, evolve, and maintain scalable and efficient machine learning systems including, data pipelines, model training, deployment, and monitoring frameworks.
Integrate and leverage Large Language Models (LLMs) to develop advanced NLP features, including but not limited to chatbots, workflow automation agents and data analysis tools using state-of-the-art models (e.g. OpenAI, Anthropic, open source models).
Develop and enhance systems to deliver personalized experiences to our users, utilizing advanced machine learning and AI technologies to derive engagement and satisfaction.
Partner across Product and Engineering teams on requirements to create product capabilities that fundamentally rely on AI and Machine Learning.
Drive conversations within Engineering to improve and optimize the source data models, integration of the ML capabilities including those in our product platform.
Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability.
Mentor other engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team.

Python SQL ETL Machine Learning Numpy PyTorch Data engineering Data science Pandas Spark Tensorflow CI/CD RESTful APIs DevOps

Posted about 16 hours ago

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🔥 Senior Business Analyst

Posted about 16 hours ago

📍 Bratislava, Kyiv

🔍 FinTech/Banking or Energy

🔧 Requirements

3+ years of Business Analysis experience in either FinTech or Energy domain.
Strong understanding of financial systems, digital banking, payments, and regulatory frameworks or energy market analytics, renewable energy trends, and asset management.
Experience with big data tools and ETL platforms (AirFlow, Kafka, Postgres, MongoDB).
Proficiency in data modeling, BPMN, UML, ERD diagrams, and business process mapping.
Deep understanding of Agile/Scrum methodologies, backlog management, and requirement elicitation.
Familiarity with Jira, Confluence, and wireframing/mockup tools.
Excellent problem-solving and communication skills.
Fluent in English (C1 or higher)

💡 Responsibilities

Work closely with stakeholders to gather, document, and analyze business requirements, ensuring alignment with company objectives.
Evaluate and optimize business processes through data analysis and stakeholder feedback.
Develop comprehensive Business Requirement Documents (BRD), Functional Specification Documents (FSD), and User Stories.
Act as a bridge between business and technical teams, ensuring smooth collaboration and understanding. Cross-department collaboration.
Utilize data-driven insights to support decision-making and provide business intelligence reports.
Work with development teams to ensure that proposed solutions meet business needs and contribute to strategic goals.
Identify potential risks associated with business processes and propose mitigation strategies.

PostgreSQL SQL Agile Apache Airflow Business Analysis Data Analysis ETL MongoDB SCRUM Jira Apache Kafka RDBMS Risk Management Data visualization Stakeholder management Data modeling Confluence English communication

Posted about 16 hours ago

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🔥 Machine Learning Engineer

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 130000.0 - 200000.0 USD per year

🔍 Software Development

🏢 Company: Sadaora

🔧 Requirements

5+ years of experience developing, deploying, and maintaining ML models in production environments.
Proficiency in Python and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost).
Strong foundation in statistics, linear algebra, probability, and optimization.
Deep understanding of a range of ML techniques (regression, classification, clustering, NLP, deep learning).
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
Solid understanding of software engineering principles, version control (Git), and CI/CD workflows.

💡 Responsibilities

Design, train, and evaluate machine learning models using best-in-class frameworks.
Architect scalable ML solutions and pipelines, from feature engineering to deployment.
Implement rigorous testing, validation, and monitoring processes to ensure model reliability in production.
Work closely with data engineers to shape the data architecture required for robust ML workflows.
Build efficient ETL pipelines to clean, preprocess, and transform large-scale datasets.
Partner with product managers, engineers, and business stakeholders to define ML use cases.
Collaborate with software engineers to integrate ML models into production-grade APIs and applications.
Translate complex ML concepts into business-relevant insights and recommendations.
Stay current with advancements in machine learning, AI, and related fields.
Experiment with new algorithms, architectures, and tools to continuously enhance our capabilities.
Contribute to a culture of experimentation, technical excellence, and intellectual curiosity.

AWS Docker Python ETL GCP Git Kubernetes Machine Learning MLFlow PyTorch Azure Data engineering Tensorflow CI/CD

Posted 1 day ago

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🔥 Grupo QuintoAndar |Salesforce Software Engineer (Afirmativa para pessoas negras)

Posted 1 day ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

🔧 Requirements

Experience with development on the Salesforce platform (Apex, LWC, Visualforce, SOQL, SOSL).
Knowledge of Salesforce Service Cloud, Experience Cloud, or Community Cloud.
Experience with system integration via REST/SOAP APIs.
Experience with queue systems (SQS, Kafka, etc.).
Familiarity with version control tools such as Git.
Knowledge of agile methodologies (Scrum/Kanban).
Experience with deployment and DevOps in Salesforce (SFDX, CI/CD, Change Sets, Metadata API).
Technical English for reading and writing.
Fluency in Portuguese and knowledge in English - we usually use English to write our code, documentation, tools, reference materials and eventually talk to partners and co-workers from other countries.

💡 Responsibilities

Develop and customize solutions on the Salesforce platform, including Apex, Lightning Components, Visualforce, and LWC.
Integrate Salesforce with other systems using REST/SOAP APIs and ETL tools.
Collaborate with product, UX, and QA teams to ensure the delivery of efficient and secure solutions.
Implement and maintain flows, triggers, workflows, process builder, and other automations.
Create and optimize reports and dashboards in Salesforce to enhance decision-making.
Participate in requirements analysis and contribute to solution architecture.
Ensure compliance with Salesforce development best practices and standards.
Identify and resolve bugs and performance issues.

ETL Git Javascript Salesforce SCRUM API testing REST API CI/CD Agile methodologies DevOps JSON

Posted 1 day ago

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Why is Remote Work in IT Becoming More Popular?

The remote work from home is increasingly in demand among computer and IT professionals for several reasons:

Flexibility in time and location.
Collaboration with international companies.
Higher salary levels.
Lack of ties to the office.

Remote work opens up new opportunities for specialists, allowing them to go beyond geographical limits and build a successful remote IT career. This employment model is transforming traditional work approaches, making it more convenient, efficient, and accessible for professionals worldwide.

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The field of information technology offers a wide range of remote job opportunities, covering both technical and managerial specializations:

Frontend Developers — React.js, Vue.js, Angular, and others.
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Big Data & AI — data engineers and artificial intelligence experts.
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Data Science & Analytics — experts in data processing, analysis, and predictive modeling.
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Specialized IT Fields — IoT (Internet of Things) and emerging technologies.
Project Managers — managing software development projects.
Technical Support & DevRel — technical customer support and developer relations.
General IT Professions — programmer jobs for developers in various fields.

Fully remote work in IT is available for professionals of all skill levels — from beginners (Junior) to experts in their field (Executive). Entry-level developers can find positions to start their remote IT careers and gain experience with commercial projects. Middle-level specialists have opportunities to enhance their skills and expand their expertise, while Senior and Lead developers can take on complex tasks and lead teams.

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