Senior Analytics Engineer, Tableau
Salary
$133,000 - $166,000 USD Annual
Location
Peachtree Corners, GA; San Diego, CA; Halifax, Canada
Posted
Today
Build analytics foundations that power smarter decisions. You play a key role in shaping the technology backbone behind Resmed’s advanced analytics ecosystem. As a Senior Analytics Engineer, you’ll design, optimize, and automate scalable enterprise analytics platforms that enable business and clinical teams to make data-driven decisions confidently. Working closely with Data Engineering and Analytics teams, you’ll build Tableau environments that deliver reliable insights, streamline reporting, and integrate seamlessly across systems including Snowflake, Salesforce Cloud, and Tableau Cloud. Your expertise in Tableau architecture, performance tuning, and Python-based automation will help transform complex data infrastructure into efficient, secure, and high-performing analytics experiences across the organization.
What you'll do
CI/CD and deployment
Design and implement CI/CD pipelines using GitHub Actions to automate the deployment of Tableau dashboards, SQL scripts, and Python code. Establish standards for source control, testing, and release management to ensure reliable and consistent analytics delivery.
Tableau architecture
Build scalable Tableau architecture supporting enterprise reporting, and governed data use across teams. Define and maintain standards for Tableau Cloud configuration, data models, permissions, and refresh processes.
Dashboard optimization and performance
Enhance dashboard performance by optimizing data sources, extracts, and queries for efficient load and user experience. Apply performance monitoring and best practices to identify and resolve bottlenecks across reports and infrastructure.
Tableau infrastructure
Administer and maintain Tableau Cloud environments, including configuration, upgrades, monitoring, and capacity planning. Implement robust security and access controls for effective governance across analytics assets.
Python and automation
Develop Python automation tools for Tableau asset management, performance monitoring, and analytics workflows. Build scripts to support seamless integration across Tableau, Snowflake, and Salesforce systems.
Data and analytics engineering
Collaborate with Data Engineering to design reusable pipelines and transformations supporting analytics scalability. Translate analytical requirements into reliable, high-performing technical solutions.
What you'll bring
- Bachelor’s degree in Computer Science, Data Engineering, or a related field
- 5+ years of experience in analytics engineering, data infrastructure, or BI platform development
- Advanced proficiency in Tableau development, architecture, and dashboard optimization
- Hands-on experience with Tableau Cloud/Server administration
- Strong Python programming and automation skills
- Practical experience with CI/CD processes and GitHub or GitLab workflows
- Solid understanding of SQL and Snowflake
- Familiarity working within SaaS or software product environments
What sets you apart
- Systems thinker — You connect data architecture, analytics, and automation into unified scalable platforms.
- Operational excellence — You care deeply about reliability, monitoring, and performance at every level.
- Collaborative partner — You engage cross-functional teams to deliver seamless analytical solutions.
- Builder’s mindset — You continually find ways to improve performance and automate manual processes.
- Analytical depth — You approach optimization and scalability challenges with a data-driven perspective.
- Adaptive problem solver — You thrive in evolving technology environments and complex system integrations.
Why join Resmed
At Resmed, your work directly supports our mission to empower millions of people with better health through innovative digital solutions. You’ll collaborate with talented engineers and data professionals who are passionate about creating technology that drives impact—from faster analytics pipelines to smarter insights across healthcare. We invest in your development, celebrate curiosity, and encourage creativity to advance how data shapes the future of connected care.
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