Data Systems and Analytics Engineer

Arbor Research Collaborative for Health

. Design, build and maintain automated, scheduled and monitored ETL/ELT pipelines .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $107,000 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining ETL/ELT pipelines, ensuring data accuracy and compliance with accessibility standards. Proficient in data modeling, report development, and technical leadership within data engineering environments.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentAdvanced SQL SkillsData Visualization in Tableau or Power BIPython or R for Data ProcessingTechnical Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentAdvanced SQLData ModelingPythonRData ValidationReport DevelopmentData GovernanceData CleaningData Transformation

Soft Skills

Excellent Organizational SkillsStrong Attention to Data AccuracyEffective Communication Skills

Tools & Technologies

TableauPower BIGitClaude CodeRelational Databases

Industry Keywords

Data EngineeringData ScienceData GovernanceHealth Data ProtectionAccessibility Standards

Tech Stack

Tools & technologies

CloudETLPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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