Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Role Description Acentra Health is looking for a Data Engineer, Mid to join our growing team. The purpose of this position is to design, develop, and maintain scalable data pipelines and systems to support the collection, integration, and analysis of healthcare and enterprise data. The primary responsibilities of this role include: - Designing and implementing efficient data pipelines. - Architecting robust data models. - Adhering to data management best practices. - Transforming raw data into meaningful insights. - Enabling data-driven decision-making across the organization. The ideal candidate will possess strong technical skills, a keen understanding of data architecture, and a passion for optimizing data processes. - Design and implement scalable and efficient data pipelines to acquire, transform, and integrate data from various sources, such as electronic health records (EHR), medical devices, claims data, and back-office enterprise data. - Develop data ingestion processes, including data extraction, cleansing, and validation, ensuring data quality and integrity throughout the pipeline. - Collaborate with cross-functional teams, including subject matter experts, analysts, and engineers, to define data requirements and ensure data pipelines meet the needs of data-driven initiatives. - Design and implement data integration strategies to merge disparate datasets, enabling comprehensive and holistic analysis. - Implement data governance practices and ensure compliance with healthcare data standards, regulations (e.g., HIPAA), and security protocols. - Monitor and troubleshoot pipeline and data model performance, identifying and addressing bottlenecks, and ensuring optimal system performance and data availability. - Design and implement data models that align with domain requirements, ensuring efficient data storage, retrieval, and delivery. - Apply data modeling best practices and standards to ensure consistency, scalability, and reusability of data models. - Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of healthcare data. - Develop and enforce data governance policies and procedures, including data lineage, architecture, and metadata management. - Collaborate with stakeholders to define data quality metrics and establish data quality improvement initiatives. - Document data engineering processes, methodologies, and data flows for knowledge sharing and future reference. - Stay up to date with emerging technologies, industry trends, and healthcare data standards to drive innovation and ensure compliance. - Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules. Qualifications - Requires a Bachelor's or Master's degree in computer science, information systems, or a related field. - Proven experience as a Data Engineer or similar role with a focus on healthcare data. - Strong programming skills in object-oriented languages such as Python. - Proficiency in SQL. - Hands-on experience with Tableau, and/or Powerbi. - Hands-on experience with data integration tools, ETL/ELT frameworks, and data warehousing concepts. - Hands-on experience with data modeling and schema design, including concepts such as star schema, snowflake schema, and data normalization. - Familiarity with healthcare data standards (e.g., HL7, FHIR), electronic health records (EHR), medical coding systems (e.g., ICD-10, SNOMED CT), and relevant healthcare regulations (e.g., HIPAA). - Hands-on experience with big data processing frameworks such as Apache Hadoop, Apache Spark, etc. - Working knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, Redshift, BigQuery). - Experience integrating heterogeneous data sources, aligning data models, and mapping between different data schemas. - Understanding of metadata management principles and tools for capturing, storing, and managing metadata associated with data models and semantic data layers. - Ability to track the flow of data and its transformations across data models, ensuring transparency and traceability. - Understanding of data governance principles, data quality management, and data security best practices. - Strong problem-solving and analytical skills with the ability to work with complex datasets and data integration challenges. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Benefits - Comprehensive health plans. - Paid time off. - Retirement savings. - Corporate wellness. - Educational assistance. - Corporate discounts. - And more.

• Build interactive 3D scene visualizations using the ArcGIS Maps SDK for JavaScript (@arcgis/core), specifically SceneView, scene layers, and Esri web components. • Integrate Esri 3D visualization components directly into a production Angular application, working within the client's codebase and repository. • Render and optimize geospatial data layers including solar field layouts, infrastructure assets, terrain models, and real-time operational data overlays in 3D. • Tune rendering performance and visual fidelity to meet production-quality standards in the browser (WebGL, GPU profiling, level-of-detail management). • Work with mock/static GIS data initially, then transition to live data endpoints; adapt the UI as real data replaces mock data. • Leverage AI-assisted development tools (Copilot, Claude, cursor-based coding agents) to accelerate implementation, write tests, debug rendering issues, and prototype scene configurations faster. • Participate in client scrum ceremonies (standups, sprint planning, retrospectives) as a fully embedded squad member. • Collaborate closely with a Future Works Full Stack / Front End Engineer on Angular component architecture, state management, and API integration. • Coordinate with the client's Technology Director and development team on data contracts, API specifications, and integration points.