Remote Data Science Jobs

Data engineering

794 jobs found. to receive daily emails with new job openings that match your preferences.

794 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 Staff Automation & Data Engineer

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 114000.0 - 171599.0 USD per year

🔍 Fintech

🔧 Requirements

Strong expertise in data pipeline development (ETL/ELT) and workflow automation.
Proficiency in Python, SQL, and scripting languages for data processing and automation.
Hands-on experience with Workato, Google Apps Script, and API-driven automation.

💡 Responsibilities

Automate customer support, success, and service workflows to improve speed, accuracy, and responsiveness.
Build and maintain scalable ETL/ELT pipelines to ensure real-time access to critical customer data.
Implement self-service automation to enable customers and internal teams to quickly access information.

Python SQL ETL Jira API testing Data engineering CI/CD RESTful APIs Data visualization Scripting Customer Success

Posted 1 day ago

Apply

🔥 Solutions Engineer

Posted 1 day ago

📍 Worldwide

🧭 Full-Time

🔍 Blockchain Data

🏢 Company: Allium👥 11-50 Information Technology

🔧 Requirements

2-5 years experience in a similar role.
A Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, with a Master's degree preferred.
Strong proficiency in programming languages like Python, SQL, and JavaScript, and experience with data analytics tools.
2-5 years of experience in data engineering, data analytics, or similar, with a track record of designing customer solutions.
Excellent communication and interpersonal skills, problem-solving abilities, and project management skills to handle multiple customer projects.
A solid understanding of blockchain technology and its data structures, with knowledge of data security and privacy best practices as a plus.

💡 Responsibilities

Engage with customers to understand their blockchain data requirements and provide expert guidance on using Allium.so's platform.
Design and implement tailored data analytics solutions, such as dashboards for transaction trends or custom reports for blockchain metrics.
Offer ongoing technical support, troubleshooting issues to ensure smooth platform usage.
Gather customer feedback to inform product improvements and work with product and engineering teams to prioritize new features.
Create and maintain documentation for customer implementations to support future operations.

Python SQL Blockchain Data Analysis Javascript Data engineering Communication Skills Problem Solving Customer service RESTful APIs JSON Data analytics

Posted 1 day ago

Apply

🔥 Senior Data Engineer (Remote from EU)

Posted 2 days ago

📍 Germany, Austria, Italy, Spain, Portugal

🔍 Financial and Real Estate

🏢 Company: PriceHubble👥 101-250💰 Non-equity Assistance over 3 years agoArtificial Intelligence (AI)PropTech Big Data Machine Learning Analytics Real Estate

🔧 Requirements

3+ years of experience building and maintaining production data pipelines.
Excellent English communication skills, both spoken and written, to effectively collaborate with cross-functional teams and mentor other engineers.
Clear writing is key in our remote-first setup.
Proficient in working with geospatial data and leveraging geospatial features.

💡 Responsibilities

Work with backend engineers and data scientists to turn raw data into trusted insights, handling everything from scraping and ingestion to transformation and monitoring.
Navigate cost-value trade-offs to make decisions that deliver value to customers at an appropriate cost.
Develop solutions that work in over 10 countries, considering local specifics.
Lead a project from concept to launch with a temporary team of engineers.
Raise the bar and drive the team to deliver high-quality products, services, and processes.
Improve the performance, data quality, and cost-efficiency of our data pipelines at scale.
Maintain and monitor the data systems your team owns.

AWS Docker Leadership PostgreSQL Python SQL Apache Airflow Cloud Computing Data Analysis ETL Git Kubernetes Apache Kafka Data engineering Data science Spark CI/CD Problem Solving RESTful APIs Mentoring Linux Excellent communication skills Teamwork Cross-functional collaboration Data visualization Data modeling Data management English communication

Posted 2 days ago

Apply

🔥 Senior Analyst, Internal Audit - Data Scientist (L09)

Posted 2 days ago

📍 India

🧭 Full-Time

🔍 Internal Audit

🏢 Company: careers

🔧 Requirements

Minimum 3+ years of experience writing and optimizing SQL/SAS queries in a business environment or 5+ years of experience in lieu of a degree
Knowledge of data warehouse technical architecture, ETL and analytic tools in extracting unstructured and structured data
Experience in building algorithms and coding proficiency in Python is required
Experience with visualization software Tableau or Power BI
Experience managing, moving, and manipulating data from multiple sources
Familiar with segmentation techniques such as decision trees or k-means clustering
Familiar with model development techniques such as logistic regression, random forest, or gradient boosting
Ability to provide analytic support including pulling data, preparing analysis, interpreting data, making strategic recommendations, and presenting to client/product team
Ability to clearly explain technical and analytical information (verbally, written, and in presentation form) and summarize for key stakeholders
Outstanding communications, relationship building, influencing, and collaboration skills
Strong project management, communications, multi-tasking, ability to work independently

💡 Responsibilities

Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities and special projects
Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders.
Document analytic results and findings into audit workpapers.
Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques.
Deploy automation on repetitive audit tasks using data analytics and data engineering techniques.
Collaborate with Internal Audit teams to understand audit test objectives and data requirements.
Collaborate with remediation teams to ensure data insights are effectively integrated into action plans.
Lead projects from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations.

Python SQL Data Analysis Data Mining ETL Excel VBA Machine Learning Numpy SAS EG Tableau Algorithms Data engineering Data science Pandas RESTful APIs MS Office Data visualization Data modeling

Posted 2 days ago

Apply

🔥 Staff Data Engineer

Posted 2 days ago

📍 United States

🏢 Company: ge_externalsite

🔧 Requirements

Hands-on experience in programming languages like Java, Python or Scala and experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL
Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, etc., )
Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
Exposure to unstructured datasets and ability to handle XML, JSON file formats
Conduct exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively.
Developing reusable code pipelines through CI/CD.
Hands-on experience of big data or MPP databases.
Developing and executing integrated test plans.

💡 Responsibilities

Be responsible for identifying solutions for complex data analysis and data structure.
Be responsible for creating digital thread requirements
Be responsible for change management of database artifacts to support next gen QMS applications
Be responsible for monitoring data availability and data health of complex systems
Understand industry trends and stay up to date on associated Quality and tech landscape.
Design & build technical data dictionaries and support business glossaries to analyze the datasets
This role may also work on other Quality team digital and strategic deliveries that support the business.
Perform data profiling and data analysis for source systems, manually maintained data, machine or sensor generated data and target data repositories
Design & build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
Develop and maintain data mapping specifications based on the results of data analysis and functional requirements
Build a variety of data loading & data transformation methods using multiple tools and technologies.
Design & build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
Manage metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
Analyze reference datasets and familiarize with Master Data Management (MDM) tools.
Analyze the impact of changes to downstream systems/products and recommend alternatives to minimize the impact.
Derive solutions and make recommendations from deep dive data analysis proactively.
Design and build Data Quality (DQ) rules.
Drives design and implementation of the roadmap.
Design and develop complex code in multiple languages.
This role may also work on other Quality team digital and strategic deliveries that support the business.

PostgreSQL Python SQL Data Analysis ETL Hadoop Java MySQL Oracle Data engineering Nosql Spark CI/CD Agile methodologies JSON Scala Data visualization Data modeling

Posted 2 days ago

Apply

🔥 Technology Intern (Summer2025)

Posted 2 days ago

📍 United States

🧭 Internship

💸 20.0 USD per hour

🏢 Company: Worldly👥 11-50

🔧 Requirements

Strong verbal and written communication skills
Ability to work independently and as part of a team
Proactive problem-solving mindset
Analytical thinking and attention to detail
Ability to adapt to new tools and technologies quickly
Technology: Python, SQL, AWS, Git, TensorFlow, Tableau, Jupyter Notebooks

💡 Responsibilities

Developing and testing software solutions to improve system functionality and performance
Analyzing large datasets to identify trends, insights, and areas for improvement
Assisting in building and optimizing machine learning models for predictive analytics
Supporting data engineering tasks, such as data cleaning, transformation, and structuring
Researching and implement best practices in AI/ML, cybersecurity, or cloud infrastructure
Collaborating with engineers and data scientists to design scalable solutions
Writing clean, efficient code and documentation to support team projects
Conducting performance testing and debugging to improve application efficiency
Assisting in securing cloud-based systems and mitigating potential security risks
Presenting findings and recommendations to the technology team

AWS Python Software Development SQL Cybersecurity Git Machine Learning Tableau Data engineering Tensorflow

Posted 2 days ago

Apply

🔥 Data Intelligence Manager

Posted 2 days ago

📍 United States of America

💸 94510.99 - 150972.31 USD per year

🔍 Banking

🏢 Company: external

🔧 Requirements

6-8+ years in relevant banking, data, project, and/or leadership role.
Banking experience and knowledge of industry regulatory requirements is preferred.
Risk Management, Information Security, Information Technology, and/or Banking Operations experience is a plus.
Experience in establishing and executing data governance, data quality, or data management practices.
Demonstrated experience collaborating with cross functional teams and ability to develop, recommend, and implement solutions.
Project management experience to include developing and executing project plans and roadmaps.

💡 Responsibilities

Promote the value of the Data Intelligence Program and influence a data-driven culture.
Develop a working knowledge of the Bank’s organizational structure, operations, product and service offering, and data architecture including data sources, data flows, and control points and document where appropriate.
Develop, document, implement, and manage processes supporting data governance, data stewardship, and data quality programs.
Continuously assess and improve data governance processes and practices to adapt to changing business needs and regulatory requirements.
Monitor industry trends and advancements to ensure data practices align with the latest standards and technologies.
Lead Data Communities and oversee data-related efforts/activities through completion.
Work with business lines and/or Data Communities to identify and document critical data elements (CDEs) and respective business rules and thresholds for data quality monitoring.
Work with business lines and/or Data Communities to identify root cause of data quality issues and opportunities for process improvement and implement solutions to resolve or reduce repeated issues; supporting documentation should be developed as appropriate.
Support adoption of the Data Intelligence tools, solutions, and processes.
Elevate data-related issues, risks, and gaps and recommend solutions to the Director of Business Initiatives and/or Data Intelligence Committee.
Develop and execute Data Intelligence awareness and training plans as appropriate.
Assist the Director of Business Initiatives with managing data intelligence use cases and business line onboarding as needed.
Assist the Director of Business Initiatives with development and implementation of a data change management process and supporting documentation.
Support maintenance of the Data Intelligence repository (i.e. SharePoint site) by ensuring relevant artifacts such as program documentation, procedures, and meeting packets for data working groups and/or projects are current and available.
Manage projects, where appropriate, in accordance with the Bank’s established project lifecycle process to include but not limited to developing and executing project plans, roadmaps, schedules, business requirements, and testing strategies.
Prepare reports, materials, and status updates for the Data Intelligence Committee and other meetings and/or ad hoc requests as needed.
Collaborate with the Data Intelligence team to achieve common objectives and complete projects timely.
Partner with IT, Information Security, Risk Management, and Privacy teams, as appropriate, to ensure data governance processes and projects align with standards and/or regulatory requirements of the respective area.
Represent Data Intelligence on committees, projects, and process forums (i.e. ARB, DCAB) as appropriate.
Perform other duties as assigned.

Leadership Project Management SQL Business Intelligence Data Analysis ETL SharePoint Data engineering Data Structures Communication Skills Analytical Skills Collaboration Microsoft Excel Problem Solving Agile methodologies Risk Management Data visualization Data modeling Data analytics Data management Change Management

Posted 2 days ago

Apply

🔥 Senior Technical Program Manager, Data

Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 165446.0 - 236250.0 CAD per year

🔍 Software Development

🏢 Company: Khan Academy👥 101-250💰 $10,000 Series A about 3 years agoInternet Education E-Learning Apps

🔧 Requirements

8+ years of experience as a Technical Program Manager, successfully leading big data-focused programs (or multiple projects) from inception to execution.
Technical background in software development, data engineering, or analytics.
Proficient in program/project management tools (e.g., JIRA, Confluence, Gantt charts, spreadsheets, presentations, etc.); comfortable collaborating in an online/cloud-based environment (e.g., Google Workspace, Slack, etc.).

💡 Responsibilities

Translate Data Initiatives into Actionable Requirements
Facilitate Cross-Team Data Alignment
Monitor Product Changes & Mitigate Data Risks
Develop & Optimize Data Processes

Project Management SQL Data Analysis Jira Cross-functional Team Leadership Data engineering Communication Skills Analytical Skills Problem Solving Agile methodologies Risk Management Data visualization Stakeholder management Data modeling Data analytics Data management Confluence

Posted 2 days ago

Apply

🔥 FullTruck - Back-End Developer

Posted 2 days ago

📍 Italy

🔍 Logistics

🏢 Company: Edgemony👥 1-10 Education

🔧 Requirements

Hai almeno 3 anni di esperienza nello sviluppo backend.
Hai una conoscenza approfondita di Python e dimestichezza con FastAPI, SQLAlchemy e PostgreSQL.
Hai esperienza nello sviluppo di API REST performanti e sistemi orientati alla scalabilità.
Hai esperienza pratica o forte interesse negli agenti AI, LLM, sistemi di raccomandazione o architetture multi-agente.

💡 Responsibilities

Progetterai servizi e moduli backend per alimentare i nostri agenti AI.
Collaborerai alla creazione di un sistema di raccomandazione che apprende dalle preferenze, comportamenti e contesto logistico.
Lavorerai su sistemi scalabili e asincroni, con particolare attenzione alla performance in presenza di milioni di record.
Parteciperai alla progettazione di nuove architetture backend per abilitare interazioni uomo-macchina intelligenti e fluide.
Collaborerai con il CPO, il team di prodotto e il team frontend per portare nuove funzionalità in produzione rapidamente.

Backend Development Docker PostgreSQL Python Artificial Intelligence Algorithms API testing Data engineering Data Structures FastAPI REST API CI/CD

Posted 2 days ago

Apply

🔥 Lead Engineer-Data Platform

Posted 2 days ago

📍 United States of America

💸 128000.0 - 231000.0 USD per year

🔍 Software Development

🏢 Company: targetcareers

🔧 Requirements

Strong proficiency in Java/Go or similar language
Have a deep understanding of some of the following concepts: Operating System Architecture, memory management, process scheduling, I/O scheduling, Networking, technologies, latency, bandwidth, Benchmarking, Performance Debugging, Performance monitoring
Have familiarity and experience with some of the following technologies: Object Storage tech (MinIO, Ceph, etc), Spark, Apache Hadoop ecosystem or Kubernetes, Databases - NoSQL and RDBMS, Trino/PrestoSQL, ZooKeeper
Experience with modern CI/CD technologies such as Git, Drone, Docker, Artifactory

💡 Responsibilities

Understand Target's business and technical environments and assist teams in resolving complex business challenges via current technical solutions by assessing viability/applicability/cost implication through POCs and prototypes.
Collaborate with technical staff and Enterprise Architecture teams in setting technical direction across platform and drive technology lifecycle management and communication of standards/decisions to the engineering team.
Participate in procurement specifications, installation, and maintenance of Target systems.
Lead designing and building the Target platform API with deep focus on non-functional requirement including scalability, availability, performance, etc. while being a strong advocate of extreme agile and DevOps practices across engineers.

Docker Leadership Software Development Apache Hadoop Git Java Kubernetes Software Architecture Data engineering Go Spark Communication Skills CI/CD Problem Solving Agile methodologies DevOps

Posted 2 days ago

Apply

Shown 10 out of 794

Ready to Start Your Remote Journey?

Apply to 5 jobs per day for free, or get unlimited applications with a subscription starting at €5/week.

Subscribe Now Sign Up Free

Why Remote Data Science Jobs Are 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.

Why do Job Seekers Choose Remoote.app?

Our platform offers convenient conditions for finding remote IT jobs from home:

localized search — filter job listings based on your country of residence;
AI-powered job processing — artificial intelligence analyzes thousands of listings, highlighting key details so you don’t have to read long descriptions;
advanced filters — sort vacancies by skills, experience, qualification level, and work model;
regular database updates — we monitor job relevance and remove outdated listings;
personalized notifications — get tailored job offers directly via email or Telegram;
resume builder — create a professional VC with ease using our customizable templates and AI-powered suggestions;
data security — modern encryption technologies ensure the protection of your personal information.

Join our platform and find your dream job today! We offer flexible pricing — up to 5 applications per day for free, with weekly, monthly, and yearly subscription plans for extended access.