Data Systems and Analytics Engineer

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⛰️ Colorado, North Carolina, +4 more states – Remote

⛰️ Colorado – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote ⚔️ Virginia – Remote

💵 $107k - $176k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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Arbor Research Collaborative for Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Arbor Research Collaborative for Health is a nonprofit health services research and technology organization that conducts real-world evidence generation, clinical and policy research, and develops health IT and data platforms to inform healthcare policy, clinical quality, and patient outcomes. It partners with government agencies (including HHS, CMS, NIH), foundations, and private-sector clients to provide data coordinating center services, disease and treatment registries, clinical trial research, mixed-methods evaluation, and health IT modernization using cloud, AI, and modern development practices.

📋 Description

• Design, build and maintain automated, scheduled and monitored ETL/ELT pipelines • Ingest data from databases, files, APIs and web platforms into cloud databases and data warehouses • Clean, validate and transform raw data into analysis-ready datasets with data dictionaries, codebooks and documented derivation logic • Ensure accuracy through automated validation checks, independent quality control and reproducibility documentation • Maintain code in Git with code review and document systems, pipelines and dashboards • Protect sensitive health data using de-identification, data minimization, access controls, encryption and audit logging • Build record linkage and entity resolution processes across data sources • Harmonize data to common standards and maintain metadata for search and discovery • Design relational data models, views and stored procedures for analysis and reporting • Support analysts and biostatisticians with derived variables, matched comparison datasets and reproducible analysis files • Present metrics and outcomes through publication-ready tables, figures, dashboards and reports • Design, build and maintain interactive dashboards and visualizations in Tableau, Power BI or custom frameworks • Ensure dashboards and reports meet Section 508 and WCAG accessibility standards • Gather user requirements, prototype layouts and refine outputs based on feedback • Collaborate with project managers, biostatisticians, data managers and external partners • Explain technical approaches to technical and non-technical audiences • Leverage AI such as Claude Code for pipeline solutioning and as a component for solutions • Serve as technical lead and system architect for end-to-end data platforms • Develop and maintain data governance practices and standard operating procedures • Execute data operations according to SOPs, document adherence and corrective actions, and train staff • Lead technical planning, estimation, architecture planning and technical risk mitigation • Provide technical direction, code review and mentoring • Evaluate emerging technologies and recommend infrastructure, automation and performance improvements

🎯 Requirements

• Bachelor's degree in computer science, data science, statistics, informatics or a related field • Five (5) years of progressively more responsible experience in data engineering, programming or reporting development • Advanced SQL skills, including data modeling, views, stored procedures and query optimization in relational databases • Proficiency in Python or R for data processing and automation; working knowledge of SAS • Demonstrated experience in report and dashboard development using Tableau, Power BI or a custom framework • Experience building and maintaining ETL pipelines, including data validation and error handling • Experience with Git in a collaborative workflow • Ability to translate user requirements into data models, pipelines and report designs • Strong attention to data accuracy and documentation • Excellent organizational and communication skills • Demonstrated technical leadership, including designing data system architecture and processes, setting technical standards, and mentoring technical staff

🏖️ Benefits

• Remote work arrangement • Minimal overnight travel, no more than 5% • 40 hours per week