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🔥 Senior Software Engineer (Python) - Warehouse Platform (Open to remote across ANZ)

Posted about 2 hours ago

📍 ANZ

🧭 Full-Time

🔍 Software Development

🔧 Requirements

You’ve built and scaled robust data platforms in cloud environments (AWS, Kubernetes, Snowflake)
You’re fluent in Python, Analytical SQL, and automation best practices
You love solving performance and reliability challenges in large-scale systems
You're proactive about observability, cost optimization, and performance monitoring
You can think strategically, define roadmaps, and communicate technical decisions clearly
You're collaborative and passionate about mentorship, engineering excellence, and empowering others

💡 Responsibilities

Maturing Canva’s self-service data infrastructure so that domain teams can deliver high-impact outcomes
Building orchestration tooling with smart dependency logic and self-healing capabilities
Implementing observability practices and monitoring systems for proactive detection and resolution
Enhancing CI/CD pipelines and aligning them with Canva’s broader tooling ecosystem
Shaping the roadmap for data platform services and advocating for AI integration
Collaborating across teams to uplift engineering, hiring, and mentoring practices

AWS Python SQL Kubernetes Snowflake Data engineering CI/CD Data modeling

Posted about 2 hours ago

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🔥 Analytics Engineer

Posted about 2 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 2 hours ago

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🔥 Data Analyst

Posted about 14 hours ago

📍 Egypt

🧭 Contract

🔍 SaaS

🏢 Company: ProjectGrowth

🔧 Requirements

2-4 years of experience in data analysis, preferably within a SaaS or subscription-based business model.
Strong proficiency in SQL for querying and data manipulation.
Experience with data visualization BI tools (e.g., Tableau, Power BI, etc.).
Familiarity with data warehouses such as Snowflake.
Strong business acumen with the ability to understand the needs of various teams and translate them into data-driven insights.
Ability to connect data insights with tangible business outcomes.
Excellent communication and presentation skills to explain technical data concepts to non-technical stakeholders.

💡 Responsibilities

Design and maintain scalable data models to serve as the foundation for analytics and reporting.
Organize raw data into meaningful structures for easy cross-departmental access and use.
Develop dashboards and reports using BI tools to visualize key metrics and business insights.
Deliver actionable insights to support decision-making across sales, marketing, finance, and customer success.
Act as a liaison between teams, understanding their data needs and delivering tailored solutions.
Work closely with stakeholders to identify data-driven process improvements.
Ensure data accuracy, integrity, and security by implementing best practices for data management.
Troubleshoot data inconsistencies and work with engineering or IT teams to resolve issues.
Translate complex data findings into clear, actionable business recommendations.
Identify trends and opportunities to enhance business performance and customer satisfaction.

SQL Data Analysis Snowflake Tableau Communication Skills Data visualization Data modeling SaaS

Posted about 14 hours ago

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🔥 Director, Analytics (Marketing & Promos)

Posted 1 day ago

📍 United States

💸 208000.0 - 235000.0 USD per year

🔍 Gaming, sports betting

🏢 Company: Underdog Sports

🔧 Requirements

10+ years of experience in marketing analytics, growth analytics, or CRM analytics
4+ years of experience as a people manager
Strong expertise in digital marketing analytics
Experience working with CRM, lifecycle marketing, or promotions data
Deep SQL expertise and familiarity with modern data stack tools
Proven ability to work cross-functionally
Strong communication skills

💡 Responsibilities

Drive Marketing & Growth through data
Optimize CRM & Promotions
Lead and Develop the team

SQL Apache Airflow Data Analysis People Management Snowflake Google Analytics Cross-functional Team Leadership Tableau Communication Skills Microsoft Excel RESTful APIs Data visualization Marketing Digital Marketing CRM Data modeling Data analytics Data management Customer Success A/B testing

Posted 1 day ago

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🔥 Data Analyst

Posted 2 days ago

📍 EMEA

🧭 Full-Time

🔍 Gaming

🏢 Company: Paradym👥 11-50 Lead Generation Marketing Marketing Automation Real Estate Software

🔧 Requirements

3+ years of experience in a data analysis role.
Strong SQL skills, with experience querying large datasets.
Basic ETL skills
Proficiency in data visualization tools such as Looker, Tableau, or Power BI.
Experience with Google Analytics / customer behaviour tracking tools.
Strong analytical mindset, with the ability to translate data into actionable recommendations.
Excellent communication skills, with the ability to convey insights to both technical and non-technical stakeholders.
Experience working autonomously in a fast-paced, start-up / scale-up environment.

💡 Responsibilities

Analyze complex datasets to extract actionable insights that drive product, marketing, and operational strategies.
Develop and maintain dashboards and reports to track key business metrics.
Work closely with product, engineering, operations, marketing, and leadership teams to identify and solve critical business challenges.
Ensure data integrity, optimise data pipelines, and contribute to improving internal analytics processes.

SQL Data Analysis ETL Snowflake Google Analytics Tableau Clickhouse Data visualization A/B testing

Posted 2 days ago

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🔥 Technical Lead Director - AI/ML Product Development

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 250000.0 - 300000.0 USD per year

🔍 AI/ML Product Development

🏢 Company: Simon Data👥 101-250💰 $54,000,000 Series D over 1 year agoAdvertising Big Data Data Integration Analytics Marketing Automation

🔧 Requirements

10+ years of software development experience , with at least 5 years having a strong focus on AI and Machine Learning
5+ years of experience in people leadership with direct reports (e.g., Technical Lead Manager or Tech Lead with experience in growing others’ careers).
Strong technical expertise in Python and data systems (Snowflake experience is a plus).

💡 Responsibilities

Lead engineers in designing and deploying sophisticated generative AI models
Align team priorities with company objectives to ensure that LLM initiatives have a meaningful business impact.
Manage a high-performing engineering team through hiring, mentoring, and coaching.

Leadership Python Software Development Machine Learning People Management Snowflake Cross-functional Team Leadership Algorithms Communication Skills CI/CD Mentoring Strategic thinking Data modeling Software Engineering

Posted 3 days ago

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🔥 Analytics Engineer

Posted 3 days ago

📍 AZ, CA, CO, FL, GA, ID, IL, KY, MD, MI, NJ, NM, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA

🔍 Healthcare

🔧 Requirements

Experience as a Data Engineer or experienced data analyst
Passionate about establishing a data driven company
Comfortable filling multiple roles in a growing startup

💡 Responsibilities

Design, develop, and implement automation, monitoring, and maintaining high availability of production and non-production work environments.

AWS PostgreSQL Python SQL Apache Airflow Cloud Computing Data Analysis ETL Snowflake Data engineering REST API Communication Skills Analytical Skills CI/CD Problem Solving Teamwork Data visualization Data modeling Data analytics Data management

Posted 3 days ago

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🔥 Lead Software Architect

Posted 3 days ago

📍 United States

🧭 Full-Time

🔍 Transportation or Logistics

🏢 Company: homesafe_careers

🔧 Requirements

Expert knowledge of cloud-based technologies and the major providers.
Proven experience in optimizing cloud application performance.
Battle tested experience with high-volume eCommerce or like platforms known to process millions or more records weekly.
Advanced experience in DevOps, DevSecOps, and leveraging IaaC.
Experience with Azure Data Services, Power BI Service, and Power Platform administration.
Strong analytical skills to interpret data and generate actionable insights.
Strong communication skills to interact with both technical and non-technical stakeholders.
Experience with data modeling and ETL (Extract, Transform, Load) processes.
Leadership experience in mentoring teams and overseeing projects to completion.
Bachelor’s degree in Computer Science, Information Technology, Business Intelligence, or a related field.
10+ years of hands-on experience developing cloud-based solutions, preferably in the transportation or logistics industry.
3+ years of hands-on experience architecting cloud-based solutions, preferably with multi-cloud experience or with cloud migration experience

💡 Responsibilities

Develop scalable and secure cloud and software architectures to support business requirements and data flows.
Design and implement integration strategies using Snowflake, AWS GovCloud, Microsoft Power Platform Tools, and other FedRAMP approved tools to solution.
Lead the design, development, and deployment of Power Platform Apps and any other service level tooling needed to support the Data Platform.
Integrate data from multiple sources such as Snowflake, SQL Server, Excel, and APIs into a multi-cloud environment.
Develop and maintain comprehensive documentation, including design specifications, technical guides, and data dictionaries.
Design, implement, and manage connectors, integrations, and data models in Power Apps.
Implement and support ETL processes to support real-time and batch data ingestion.
Collaborate with business stakeholders, analysts, and decision-makers to gather requirements and ensure the delivery of relevant and actionable systems.
Translate business requirements into technical specifications, ensuring alignment with the company’s data and cloud strategy.
Identify and implement strategies to optimize the performance of internal systems, including improving load times and optimizing query execution.
Implement best practices for efficient use of the Power Platform, data storage, and data retrieval.
Create and implement a site reliability plan leveraging multiple testing strategies.
Act as a lead by mentoring other engineers and providing guidance on technical development, troubleshooting, and performance optimization.
Oversee the work of the Data Platform team, ensuring projects are completed on time and meet quality standards.
Serve as a subject matter expert (SME) on cloud capabilities and best practices within the organization.
Ensure compliance with data governance and security policies, including user access control, data privacy, and sensitive data handling.
Collaborate with IT and data teams to implement secure and scalable data solutions within a multi-cloud infrastructure.
Stay current with cloud technologies and industry trends to continually enhance performance and capabilities.
Recommend and implement enhancements to improve data visualization techniques, tool utilization, and automation efficiency.

AWS Docker Leadership SQL Agile Cloud Computing ETL Git Kubernetes Snowflake Software Architecture Azure Data engineering REST API Communication Skills Analytical Skills CI/CD Problem Solving Mentoring DevOps Terraform Microservices Data visualization Data modeling Data management

Posted 3 days ago

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🔥 Software Development Engineer in Test (SDET) - Data Engineering

Posted 3 days ago

📍 USA

🧭 Full-Time

💸 70000.0 - 90000.0 USD per year

🔍 Healthcare

🏢 Company: Intus Care

🔧 Requirements

1-3 years of experience in Data Engineering testing, preferably in a healthcare or startup environment
Knowledge of data warehouses (e.g., Snowflake) and experience validating data in these systems.
Strong programming skills in at least one language (e.g., Python, Typescript, or JavaScript) and SQL
Experience with test automation frameworks and tools (e.g. PyTest, Great Expectations)
Familiarity with API testing and tools like Postman
Knowledge of software development methodologies (e.g., Agile, Scrum)

💡 Responsibilities

Design and maintain robust test automation frameworks for data pipelines and ETL workflows.
Develop and execute test cases to validate data integrity, transformations, and lineage across big data platforms (e.g Snowflake).
Conduct performance and load testing for large-scale data processing systems, ensuring scalability and reliability
Collaborate with developers, product managers, and other stakeholders to understand product requirements and create comprehensive test plans
Participate in code reviews and contribute to improving the overall quality of our codebase
Assist in the continuous improvement of our QA processes and methodologies
Lead root cause analysis for defects and data quality issues, implementing corrective actions to prevent recurrence.
Stay up-to-date with the latest testing tools, technologies, and best practices in the healthcare software industry

AWS Python SQL Agile ETL Git QA Automation Snowflake API testing Data engineering Data Structures Manual testing TestRail CI/CD Problem Solving Agile methodologies RESTful APIs Data visualization Data analytics

Posted 3 days ago

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🔥 Data Engineer

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 153000.0 - 216000.0 USD per year

🔍 Software Development

🔧 Requirements

3+ years of experience in a data engineering role building products, ideally in a fast-paced environment
Good foundations in Python and SQL.
Experience with Spark, PySpark, DBT, Snowflake and Airflow
Knowledge of visualization tools, such as Metabase, Jupyter Notebooks (Python)

💡 Responsibilities

Collaborate on the design and improvements of the data infrastructure
Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
Create data pipelines that stitch together various data sources in order to produce valuable business insights
Create real-time data pipelines in collaboration with the Data Science team

Python SQL ETL Snowflake Airflow Data engineering Spark RESTful APIs Data visualization

Posted 3 days 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.

Most Popular Remote Computer and IT Professions

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.
Backend Developers — PHP, Java, Python, Node.js, .NET.
Full Stack Developers — specialists handling both frontend and backend development.
Mobile App Development — Android developers, iOS developers.
JavaScript Development — specialists focused on JavaScript-based applications.
WordPress Specialists — website development and customization on WordPress.
Big Data & AI — data engineers and artificial intelligence experts.
Cybersecurity — specialists ensuring information security.
Data Science & Analytics — experts in data processing, analysis, and predictive modeling.
DevOps & Testing — DevOps engineers, testers, game testers.
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.

Interested in management? Roles at the Staff, Director, and Executive levels offer opportunities for strategic leadership, key technical decision-making, and shaping a company's long-term IT strategy.

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Remoote.app offers several work models so that everyone can find a suitable option:

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Internships.

The platform features job listings from employers in the USA, Canada, Germany, the UK, Poland, the Netherlands, UAE, France, Spain, Australia, and more. This allows candidates to choose the best conditions and build an international career.

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