Remote Junior Software Development Jobs
12,634 Junior Software Development jobs available for remote work from home. Apply for positions such as Statistical Programmer, Developer, Integration Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Statistical Programmer will develop and validate SDTM and ADaM datasets and generate statistical output reports based on clinical trial data. They will also support clinical data cleaning, perform database integrity checks, and ensure all documentation meets regulatory and company standards.
Design, develop, and configure software systems to meet client requirements throughout the full software development lifecycle. Participate in analysis, implementation, testing, and ongoing maintenance to ensure project goals are met.
The Integration Engineer develops, implements, and supports interfaces connecting healthcare organizations and EHR systems to health information exchange solutions. They also manage technical implementations, troubleshoot integration issues, and coordinate with internal teams and external partners.
The Site Reliability Engineer will develop and maintain global monitoring and observability platforms while ensuring the uptime and scalability of critical cloud services. Responsibilities include writing code in Go and Javascript, managing GCP infrastructure, and participating in on-call rotations to resolve system issues.
The Manual QA Engineer validates pharmacy benefit technology, including claims adjudication logic and system functionality, to ensure accuracy and reliability. They design and execute test plans, document defects, and collaborate with cross-functional teams to verify fixes and support release sign-offs.
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The Senior Salesforce Developer will design, develop, and maintain scalable Salesforce solutions while providing technical leadership and mentorship to the team. They will also manage enterprise integrations and partner with business stakeholders to align technology with operational objectives.
The Lead Thermal Performance Engineer will model power plant cycles, assist in design, and conduct performance testing to ensure project efficiency. They will coordinate with equipment vendors and analyze thermal data to support proposal efforts and detailed design requirements.
The Technical Support Engineer will manage customer-impacting incidents on the cloud-commerce platform and provide guidance on product functionality. They will also collaborate with internal teams to resolve technical issues and document troubleshooting steps for the knowledge base.
The Senior Software Engineer will design and implement front-end components and user experiences for prediction market interactions within the MetaMask platform. They will also develop robust backend services and APIs to manage real-time market data, user positions, and secure transaction signing.
The Analytics Engineer will design and maintain complex data models and pipelines within Snowflake using dbt. They will also leverage AI-driven insights and BI tools to provide actionable data analysis for cross-functional teams.
The Senior Developer will design, build, and enhance applications within the Microsoft Power Platform while working in a cross-functional agile team. They are responsible for translating user stories into technical solutions, performing unit testing, and ensuring system stability and security.
You will design and implement machine learning models to detect and sanitize sensitive data like PII and PHI across large-scale enterprise datasets. Additionally, you will build validation infrastructure and automated test suites to ensure high data quality and compliance with privacy standards.
You will own and extend the customer data ingestion platform while building large-scale pipelines to power AI products. Additionally, you will architect data infrastructure and collaborate with teams to improve the reliability and performance of the data stack.
You will collaborate with cross-functional teams to design and scope new features for the core platform. Additionally, you will architect solutions and design data schemas that evolve with business needs while working within the Salesforce ecosystem.
The Production Engineer will support daily manufacturing operations to ensure safety, quality, and efficiency while identifying opportunities for process improvement. They will lead root cause analysis and collaborate with cross-functional teams to implement Lean and Six Sigma methodologies.
Develop and implement data pipelines and tooling for cost attribution, performance-informed financial modeling, and data transparency. Maintain end-to-end ELT/ETL processes to support stakeholders in making data-driven decisions.
Analyze integrated datasets to extract value and influence business decisions while collaborating with stakeholders to reduce the cost of care. Develop and maintain complex scripts and reports while providing technical guidance to junior analysts.
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You will design, develop, and deploy AI-powered features and backend services while collaborating with cross-functional teams to ensure high-quality code. The role involves building LLM agents, managing MCP servers, and contributing to technical architecture discussions.
You will own the deployment, maintenance, and quality assurance of approximately 100 client dashboards while managing complex data flows within BigQuery. Additionally, you will serve as the primary technical contact for account managers to resolve data anomalies and customize reporting metrics.
Design, develop, test, and document scalable Salesforce solutions using LWC, Apex, and REST APIs. Collaborate with team members on code reviews and design discussions while taking ownership of client deliverables.
The role involves working as a Data Engineer, utilizing various data processing tools to manage and transform data. You will be expected to be versatile and maintain a positive attitude while contributing to data engineering projects.
The Enterprise Solutions Engineer will partner with account executives to expand the company's footprint in Fortune 500 companies by providing technical expertise and design support. Responsibilities include interfacing with customers, overcoming technical objections, and acting as a product evangelist to educate partners and clients.
Design and build agentic interfaces, including MCP servers, CLI commands, and APIs to facilitate interaction between AI assistants and the product. Manage the full development lifecycle of agent skills and plugins while ensuring high-quality evaluations and robust security.
The Senior Fabric Administrator & Analytics Engineer is responsible for the end-to-end design, build-out, and operations of the Microsoft Fabric platform. They will manage data engineering pipelines, implement governance and security, and develop analytics solutions to support various business units.
The Database Conversion Specialist is responsible for importing and converting non-SQL data into SQL Server while mapping data fields between source and target databases. They will also design and execute tests to ensure conversion success and provide ongoing support to clients.
Serve as the primary contact for enterprise customers, triaging and resolving technical issues across various communication channels. Document cases thoroughly and contribute to the knowledge base while maintaining ownership of customer issues.
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The AI Platform Developer will build, maintain, and enhance AI-powered applications and workflows while integrating third-party tools. They will also monitor system health, troubleshoot production issues, and collaborate with leadership to implement innovative AI solutions.
You will build and maintain internal tools for sales and marketing teams while designing innovative, data-driven outbound strategies. You will also be responsible for running measurable growth experiments to optimize pipeline and meeting generation.
Serve as the technical escalation point for enterprise networking and AV customers to diagnose and resolve complex hardware and software issues. Collaborate with engineering and product teams to validate fixes, document solutions, and improve the overall customer experience.
The Senior Data Analyst will drive analytics across subscription products and web funnels by partnering with Product, Marketing, and Data teams to improve key metrics. They are responsible for designing robust data models, maintaining event tracking, and mentoring junior analysts to ensure high-quality, decision-ready reporting.
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