Remote Data Engineering & Analytics Jobs

Job Title: Big Data Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Required Skills big data Python databases data engineering Key Responsibilities: Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions. Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives. Implement data integration, transformation, and processing solutions using Python and relevant big data technologies. Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability. Monitor, troubleshoot, and enhance data systems to ensure high availability and performance. Enforce data quality, security, and governance standards across all solutions. Document solutions and communicate complex technical concepts effectively, both in writing and verbally. Required Skills and Qualifications: Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines. Advanced proficiency in Python for data processing, automation, and integration. Deep understanding of relational and NoSQL databases, including optimization and management techniques. Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink). Strong foundat

Yopeso has been developing a diverse range of software products, from large-scale applications to smaller solutions, for 20 years. With a growing team of over 300 employees across five locations, we are dedicated to fostering a culture of growth, transparency, and professionalism. At Yopeso , we value authenticity, curiosity, and ambition. These values drive us to build strong connections within our community and with our partners, ensuring trust, integrity, and transparency in all our business practices. We strive to maintain the highest professional standards and continuously challenge ourselves to develop high-quality, high-performance, and secure software solutions. Our approach is rooted in efficient collaboration among passionate professionals working in agile teams. Guided by curiosity and ambition, we strive to create products that are meaningful and impactful, while remaining true to our authentic selves. What we offer: Competitive remuneration Remote work Sports/leisure benefit 20 sick leave days paid at 100% 32 calendar days of vacation Team events, online, at the office, or outside Professional development plan with guidance and mentorship Training and development opportunities with an allocated budget Professional Certifications Optional medical insurance Requirements About the Project We are looking for a Reliability / DevOps Engineer to join theteam, supporting a financial database platform built around business-critical database systems and related operational

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines. The OpenSearch team is, among other things, focused on creating the best enterprise automation solution for search and analytics suites like OpenSearch and Elasticsearch. We have a number of openings we are looking to hire across a range of levels. We will help you identify a suitable position depending on your experience and interests. Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations. Location: This role can be filled in European, Middle East and African time zones. What your day will look like The OpenSearch team is responsible for the automation of OpenSearch operations. This includes ensuring fault-tolerant replication, TLS, installation, and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical . This role is focused on the creation and automation of features of data platforms, not analysing the data in them. Collaborate proactively with an internationally distributed team Write high-quality, idiomatic Python code to create new features Debug issues and interact wit

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach). We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms. We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations. Location: This role can be filled in European, Middle East and African time zones. What your day will look like The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical . This role is focused on the creation and automation o

Are you a data-driven leader who thrives at the intersection of business and technology? As Head of Data at Digital Forms , you will be responsible for translating business goals into measurable outcomes. You’ll work directly with clients to understand their challenges, design actionable KPIs, and implement the data flows and dashboards needed to drive decision-making. This role combines strategic thinking, hands-on data expertise, and outstanding communication skills. You’ll be a key player in delivering high-impact digital transformation solutions for our international clients. Requirements Responsibilities Lead the company’s data strategy in alignment with business objectives and client goals. Work closely with clients to understand their business context, define success metrics, and design clear, actionable KPIs. Design and implement efficient data flows, pipelines, and architectures for business intelligence and reporting. Build and manage dashboards that support executive-level decision-making and operational optimization. Translate complex data insights into clear recommendations for non-technical stakeholders. Collaborate with cross-functional teams, including tech, marketing, and sales, to deliver data-driven solutions. Identify opportunities to improve data processes, reporting, and automation internally and for clients. Requirements Hard Skills: Proven experience in designing and implementing dashboards using tools such as Power BI, Tableau, Metabase, or similar. S

About the Company: Kodland is an international online coding and digital skills school that helps children aged 5 to 17 take their first steps into the world of programming and technology. About the Role: Are you a passionate programmer who loves coding and computer games? Would you like to help children create their first projects and take their first steps into the programming world by teaching them Python? If so, this opportunity is perfect for you! Responsibilities: Deliver fun and interactive Python Programming lessons using provided materials. Develop your own skills under the guidance of experienced Kodland teachers. Share feedback about lessons with the Kodland team. Regularly report on student progress and help improve the learning experience. Be a positive representative of Kodland and contribute creative ideas to support students. Attend all training and support sessions provided throughout the hiring process. Join our team today and experience the joy of teaching with Kodland ! 💙 Please note: This is a part-time freelance position. There is no fixed or guaranteed income. Requirements Requirements: Intermediate level Python experience. Availability of at least 10 hours per week. You love teaching and connecting with children and young people. You speak English fluently (C1) Willing to work flexible hours: weekday: 3 - 9 pm GMT , weekend: 9 am - 9 pm GMT . You'll have to successfully pass a digital skills test to demonstrate your coding abilities Fully remote worki

At TechBiz Global , we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Architect (Adobe AEP) to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities Define overall AEP data architecture, schemas (XDM), and identity strategy. Design and oversee ingestion pipelines (batch, streaming, APIs). Ensure data quality, scalability, and governance across datasets. Define retention, privacy, and consent management frameworks. Document architecture and provide standards for long-term use. Act as SME during workshops and solution design sessions. Requirements Skills & Qualifications Proven expertise in Adobe AEP data architecture. Strong experience in data modeling, governance, and lineage. Proficiency with cloud data platforms (AWS, Azure, GCP). Knowledge of XDM schemas, APIs, and identity services. Highlights Location: Remote Originally posted on Himalayas

Addepto is a leading AI consulting () and data engineering () company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide. As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. As a Data Engineer , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join: Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered ini

At TechBiz Global , we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Engineer (Adobe AEP) to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities Build and maintain ingestion pipelines into AEP (batch, streaming, APIs). Map and transform source data (CRM, billing, OCS, channels) into XDM schemas. Ensure data quality, deduplication, and reconciliation across datasets. Optimize data pipelines for performance, scale, and cost efficiency. Support debugging of ingestion issues and coordinate fixes with Adobe/vendor teams. Document data pipelines, mappings, and transformation logic for sustainability. Requirements Skills & Qualifications Strong SQL, Python/Scala, and ETL/ELT development skills. Hands-on experience with APIs, JSON, Kafka, and cloud data platforms (AWS, Azure, GCP). Familiarity with Adobe AEP XDM schemas and Identity Service. Strong problem-solving and debugging ability. Experience in data quality frameworks and reconciliation processes. Highlights Location: Remote Originally posted on Himalayas

At TechBiz Global , we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Scientist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Build and deploy models for: Price Elasticity / Conversion Prediction Churn Propensity / Retention Uplift Segment Discovery & Similarity (Clustering, KNN) Offer Recommendation / Ranking (Scoring Models) Design A/B testing and uplift modeling to evaluate campaign performance. Develop simulation engines for pricing what-if analysis and scenario testing. Create automated pipelines for model training, scoring, and retraining. Work closely with Data Engineers to ensure feature store alignment. Collaborate with the Business Decisioning team to translate insights into rules and thresholds. Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models. Requirements Required Skills: Experience Level: 5–8 years in Applied Machine Learning, Statistical Modeling, and Data Science for large-scale systems Strong foundation in Machine Learning, Statistics, and Econometrics. Proficient in Python (pandas, scikit-learn, numpy, statsmodels, xgboost, lightGBM). Experience with model lifecycle management (MLOps). Solid understanding of telecom KPIs: ARPU, recharge frequency, wallet size, churn rate, etc. Ability to design feature engineering pipel

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K–2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond. Job Overview: We are seeking a Senior Database Engineer to join our dynamic team of 100+ software engineers, designers, project managers, and specialists who are passionate about building innovative, high-quality solutions. Our work spans a wide range of impactful and forward-thinking technologies, including: Advanced algorithms for computer-adaptive testing Highly scalable, high-performance dis

Role Summary: We are looking for a Senior Data Engineer to lead the development of scalable, reliable, and efficient data solutions in a cloud-first environment. This role requires a deep understanding of ETL/ELT processes, AWS data services, and pipeline orchestration to support enterprise-grade analytics and decision-making systems. You will work closely with data, analysts, and engineers to transform raw data into actionable insights and support the infrastructure that powers data-driven products. This is a unique opportunity to join a high-growth startup on a 100% equity-based compensation model , aligning your success directly with the company's. You'll be part of the foundational team and directly participating in long-term value creation. Key Responsibilities: Design, build, and maintain ETL/ELT pipelines that process large-scale data efficiently and reliably. Develop and manage cloud-native data pipelines using AWS Glue, Python, and SQL. Orchestrate data workflows and stateful jobs using AWS Step Functions for robust process management and automation. Store and manage large datasets in Amazon S3 with efficient partitioning, data formats (e.g., Parquet), and access control strategies. Design and optimize relational data structures in PostgreSQL, ensuring data accuracy and performance. Implement data quality monitoring, logging, and alerting within all pipeline processes. Collaborate with cross-functional teams to define data requirements and ensure consistency, availab

Data Scientist (m/f/x) Location: EU (Remote) Who You’ll Work For: At Makersite , we're pioneering the future of sustainable product development and digital collaboration. As a leading platform for product lifecycle management (PLM), we empower companies to make smarter, more sustainable decisions across their entire supply chain. Our cutting-edge software enables teams to design, prototype, and manufacture with transparency, efficiency, and responsibility—reducing environmental impact while optimizing performance. We're a fast-growing, innovative company that thrives on creativity, collaboration, and continuous learning. If you're passionate about technology, sustainability, and creating meaningful impact, we’d love to hear from you. Join us and be a part of shaping the future of manufacturing and product innovation. Who we're looking for: As part of our growing team, you will play a key role in shaping the future of sustainable product development. We’re looking for innovative, driven Data Scientists who are passionate about technology and sustainability to join us in building tools that enable companies to make smarter, more responsible decisions. In this role, you’ll have the opportunity to collaborate with talented professionals, contribute to cutting-edge projects, and help drive the digital transformation of industries worldwide. Ifyou're ready to make an impact and contribute to meaningful change, we want to hear from you! This role is a fixed, permanent position. All

Role Title: Video Data Annotator Role Type: Contract Location: Remote Required Skills: Video annotation Audio annotation Data labeling Content moderation Attention to detail English communication Written feedback Guideline-based evaluation Independent work Adaptability Process improvement Data confidentiality Remote collaboration In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Scope of Work: Review and annotate short video and audio clips, labeling content accurately based on project-specific guidelines. Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content. Evaluate content compliance against clear moderation standards, flagging uncertain or inappropriate material with detailed rationale. Provide clear, concise written feedback highlighting potential inaccuracies or ambiguities in AI outputs. Maintain rigorous attention to detail and consistency in annotation, ensuring data integrity across high volumes of submissions. Collaborate remotely with project managers and fellow specialists to clarify guidelines and support process improvements. Safeguard all project data, adhering strictly to confidentiality and data protection standards. Preferred Qualifications: Demonstrated experience with video and audio annotation, conte

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines. We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering data platforms. We have a number of openings ranging anywhere from junior to senior level. We will help you identify a suitable position depending on your experience and interests. Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations. Location: This role can be filled in European, Middle East and African time zones. What your day will look like The data platform team is responsible for the automation of data platform operations. This includes ensuring fault-tolerant replication, TLS, installation, and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical . This role is focused on the creation and automation of features of data platforms, not analysing the data in them. Collaborate proactively with a distributed team Write high-quality, idiomatic Python code to create new features Debug issues and interact with

Data Analyst Role Overview The Data Analyst is responsible for overseeing and managing data licensing processes, ensuring clients receive accurate and timely data exports. This role also involves developing and maintaining industry reports, conducting data-driven analysis, and supporting research and consultation projects. Reports To: Director, Data Responsibilities Data Licensing & Reporting Manage the data licensing process, ensuring data accuracy and timely client deliveries. Oversee the creation, updating, and distribution of key industry reports. Identify and propose new reports and insights that can be packaged and shared regularly. Collaborate with clients purchasing data-related consultation services and custom reporting. Support ad-hoc data projects by providing research and analytical insights. Day-to-Day Tasks Process data exports for licensed clients and internal reporting. Compile, analyze, and format industry metrics and metadata. Conduct research to gather and validate additional data for reporting purposes. Provide data support for commercial initiatives, including sales proposals and client requests. Develop tools and templates to streamline data processing and report generation. Cross-Functional Collaboration Work with Commercial teams to support client licensing, sales efforts, and data requests. Collaborate with Product teams to identify data gaps and improve collection and automation processes. Tools & Platforms Used Data Management & Analysis

Fortitude Re insurance Company Ltd. ( Fortitude Re ) is one of the world’s leading providers of legacy reinsurance solutions. They work with the world’s leading insurance companies to help them execute comprehensive, transformational solutions for legacy Life & Annuity and P&C lines. Fortitude Re manages a general account of approximately $111 billion across life, annuity, and property & casualty insurance products. The company takes a long-term view on growth and is proud to be backed by a consortium of sophisticated institutional investors led by The Carlyle Group and T&D Insurance Group. Incorporated under the laws of Bermuda on January 1, 2017, Fortitude Re ’s roots in the insurance industry and the experience of their leadership go back many decades. Fortitude Re ’s leadership team has an average industry tenure of over 20 years, and an impressive track record of successfully managing the most complex legacy liabilities. Their deep insurance experience and proprietary risk modeling capabilities allow them to structure bespoke transactions that benefit both insurance companies and their policyholders. Fortitude Re continues to strengthen its ability to pursue further growth and provide innovative solutions for the global insurance industry. Click here for more information about Fortitude Re . The Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that acc

The Director of Data Governance sits within Quality, Regulatory, and Compliance and leads the evolution of DeepHealth 's data ecosystem into a unified, high-quality enterprise asset. The role owns strategic design, implementation, and continuous improvement of the Data Governance Framework so data is accurate, secure, and ready for advanced analytics and AI initiatives. Essential Duties and Responsibilities Define and execute a Data Governance roadmap aligned with the Enterprise Information and Governance vision. Review, maintain, and enforce the Data Management Policy and Data Governance Charter against current regulatory and business needs. Facilitate decision-making on data standards and help resolve cross-functional data conflicts. Implement Data Quality Management procedures and establish KPIs for data accuracy, completeness, and consistency. Define enterprise-wide data standards, including metadata management, data lineage, and master data management protocols. Partner with IT and Security so data pipelines support AI applications while maintaining security boundaries. Work with Security to define data classification levels and manage high-risk data access policies. Ensure data practices adhere to applicable global privacy regulations and internal Enterprise Information and Governance mandates. Align data governance priorities with organizational objectives and regulatory requirements. Mentor and develop team members as the data governance capability grows. Requirements

** This is an opportunity to join our top-notch product delivery team working closely together on interesting projects for our clients. This position is fully remote (indefinitely).** Emergent Software is looking for a Technical Product Owner (Data) with 5+ years of experience leading requirements gathering and delivery efforts for data engineering, analytics, and business intelligence projects. You will work closely with clients, data engineers, architects, and business stakeholders to define priorities, manage backlogs, and deliver modern data solutions that drive measurable business value. This 100% remote role is ideal for someone with strong communication skills, experience working on cloud-based data platforms, and a solid understanding of data warehousing, reporting, governance, and agile delivery practices. Highlights & Benefits of working at Emergent Software Work closely with other talented software engineers and analysts . Our vetting process means you can count on your team members to know what they are talking about. Work from home or work remotely from anywhere you want Flexible work schedule meaning you can work regular hours or whenever you work best Work-life balance is essential and highly valued at Emergent Software . If you choose to work more than 40 hours, you’ll be compensated for the extra work! Work on interesting projects solving complex business problems with custom software. 100 hours per year to focus on your professional development . We inve

Description We are seeking a highly motivated Data Scientist to join our growing team and help deliver innovative machine learning and analytics solutions for complex business challenges. In this customer-facing role, you will work with large-scale datasets, develop advanced analytical models, and collaborate cross-functionally with product, engineering, and business stakeholders to drive measurable impact. Responsibilities Design and implement data science solutions throughout the project lifecycle. Analyze large and complex datasets to identify trends, anomalies, and actionable insights. Develop and optimize machine learning models and advanced analytics workflows. Perform feature engineering and data preparation for predictive modeling initiatives. Collaborate with Product, Engineering, and Customer Success teams to translate business requirements into technical solutions. Lead the data science aspects of customer implementations, pilots, and production deployments. Build strong technical relationships with customers and external partners. Provide recommendations to improve products, algorithms, and analytical capabilities. Deliver training and knowledge transfer to end users and stakeholders. Support investigation and resolution of data-related and analytical challenges. Requirements Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. 2+ years of experience in Data Science, Data Engineering, Machine Lea

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers , including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders. In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions , the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours. The Role: MaintainX (part of Autodesk) is hiring a Director of GTM Data, Processes, and AI Enablement to own critical foundations of our GTM teams, including: Customer and prospect data within our CRM; Core CRM processes that enable selling across GTM teams (e.g., opportunity workflows, territory assignment processes); and Our internal GenAI and automation efforts driving efficiency, effectiveness, and productivity of our GTM teams This role also owns the integration of the MaintainX GTM teams into Autodesk GTM systems, processes, and GTM motions, for the core functional areas of the role – a key area of focus for the next 6 to

Senior Data Engineer About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock , we're not just envisioning the future of digital assets. We're actively building it. About the team and why the role exists The Central Data Team (CDT) is only a few months old, but data has been Keyrock 's lifeblood since day one. We're now building the Keyrock Data P

Primary Function of Position This position is part of the evidence strategy and research function supporting da Vinci platforms and applies data science, statistical, and analytical methods to generate scientific evidence about the performance, use, and impact of Intuitive products, technologies, and procedures for the Cardiac Surgery Program. The Data Scientist partners with scientific, medical, clinical, research, data, product, and engineering teams to address evidence gaps with rigorous analytical approaches. The role works with complex surgical, robotic system, product-generated, clinical, financial, and other data sources to support retrospective and prospective research. The Data Scientist contributes across the research lifecycle, from research question development and data feasibility through analysis, interpretation, and scientific dissemination. Essential Job Duties This position has responsibility and authority for the following: Partner with scientific, medical, clinical, research, product, engineering, and evidence stakeholders to translate evidence needs into clear research questions, study designs, analytical plans, and appropriate data science approaches. Design, execute, and interpret analyses using da Vinci system, product, procedural, research, clinical, financial, and other relevant healthcare data. Evaluate and apply appropriate statistical and data science methods, including descriptive and inferential statistics, longitudinal analysis, experimental and

State of Location: New York Position Summary: At Ivy Health, we're "All About the People"! As a Cloud Data Architect, you will play a crucial role in our mission to help enable people to live their lives to the fullest. Job Description: As a Cloud Data Architect, you will manage and support our cloud data infrastructure, focusing on Snowflake. You will design and implement data ingestion pipelines, data models, and new data source integrations. Your role includes maintaining current operations, addressing outages, and supporting automated data extract distributions. You will work closely with cross-functional teams to meet their data needs. Your responsibilities will include: Manage and support Snowflake data warehouse infrastructure. Maintain and optimize data ingestion pipelines and models. Design and implement new data source ingestions and models. Ensure reliability, scalability, and performance of data infrastructure. Resolve data infrastructure outages. Support automated data extract distributions from Snowflake. Collaborate with cross-functional teams to address data needs. Continuously monitor and optimize data system performance. Collaborate on the development and maintenance of disaster recovery plans. Maintain comprehensive documentation for data architecture and processes. Provide advanced support and troubleshooting for complex data issues. To excel in this role, you should possess: Required: Bachelor's degree in Computer Science, IT, or related field. 3+ years i