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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer, Data Platform & Architecture - **Company:** Allpoints Realty Com Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Audit Trail, Microsoft Azure, BigQuery, Information Systems, Databases, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, EHealth, Information Lifecycle Management, Integrated Development Environments, Meta-Data Management, Operational Data Store, Performance Tuning, Role-Based Access Control, Cloud Services, Standard Sql, Software Engineering, Data Streaming, Enterprise Data Management, Google Cloud, Fast Healthcare Interoperability Resources, Snowflake, Apache Spark, Indexer, Data Lakes, Infrastructure Automation Frameworks, Information Technology, Data Lineage, Health Level Seven International, Apache Kafka, Machine Learning Operations, Data Delivery, Restful APIs, Terraform, Azure Synapse Analytics, Amazon Redshift, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ef4ea6506c5a3d49 ## About the Role * Bachelor's or Master's degree in Computer Science, Information Systems, Software Engineering, or a related field. * 5-10 years of experience in data engineering, data architecture, or enterprise data warehouse development. * Strong experience designing relational and dimensional (fact/dimension) data models. * Experience designing enterprise-scale cloud data platforms and warehouses. * Strong knowledge of SQL, database design, indexing, and performance optimization. * Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Design scalable APIs and data services that enable secure access to enterprise data across internal applications, customer environments, analytics platforms, and machine learning systems. * Experience with modern warehouse technologies such as Databricks, Snowflake, Redshift, BigQuery, Synapse, or equivalent. * Experience building scalable batch and streaming data pipelines. * Strong understanding of data governance, metadata management, data quality, and data lifecycle management. * Experience implementing role-based access control, encryption, and secure handling of sensitive data. * Excellent communication skills with the ability to collaborate across engineering, data science, product, clinical, and quality organizations. Preferred * Experience in healthcare, digital health, biotechnology, or medical devices. * Experience designing systems containing protected health information (PHI) under HIPAA. * Familiarity with FDA-regulated software development environments, including Software as a Medical Device (SaMD). * Experience supporting quality systems (e.g., 21 CFR Part 820, IEC 62304, ISO 13485, HL7, FHIR) or equivalent regulated development environments. * Experience implementing audit trails, data lineage, and traceability for regulated systems. * Familiarity with Spark, Delta Lake, Kafka, Airflow, dbt, Terraform, or infrastructure-as-code tools. * Experience supporting machine learning workflows and feature stores. ## Description EarliPoint Health is seeking a highly capable and execution-oriented Senior Data Engineer to design and build the foundation of our next-generation data platform. This role will lead the architecture of our cloud-based data ecosystem, including both our analytical data warehouse and the underlying data models that support our application databases. This role will design reusable data products and customer-facing data delivery mechanisms supporting reporting, research collaborations, customer analytics, and regulatory submissions. This role may include ETL or pipeline engineering, but additionally we are looking for someone who understands how data should be modeled, stored, governed, and accessed across enterprise organizations. The ideal candidate has experience designing scalable cloud data architectures, building modern data warehouses, and partnering closely with software engineers, data scientists, product managers, and clinical teams to ensure data systems are built correctly from the ground up. Responsibilities What Success Looks Like * Design a scalable enterprise data architecture that supports both operational applications and analytics. * Develop governed data models for clinical, product, and research data. * Build a secure cloud-based data warehouse integrating product, clinical, and operational data. * Establish standards for data governance, quality, documentation, and lifecycle management. * Enable reliable reporting, customer analytics, AI development, and regulatory evidence generation. * Ensure our data infrastructure is scalable, secure, and compliant with HIPAA and medical device quality requirements. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)