Data Quality Automation Engineer
Remote
Full Time
Software Engineering
Experienced
PaceMate™ Data Quality Automation Engineer (full-time, remote)
Primary Location: All U.S. Locations (remote)
Department: AI & Automation
FLSA Type: Exempt
Reports To: Head of AI, Innovation and Data
Location: Remote (Must reside within the contiguous United States)
PaceMate is a remote cardiac device monitoring company that plays a critical role in healthcare by enabling continuous monitoring of patients with cardiac devices. We're a 200-person, PE-backed company that's both profitable and growing. We operate as a 100% remote organization, giving our team members the flexibility to work from anywhere while making a real impact on patient care.
Learn more: https://pacemate.com
You'll be joining the founding team of PaceMate's brand-new AI & Automation development group. This is a unique opportunity to shape how we leverage AI to transform remote cardiac monitoring while building automated systems that ensure data quality at scale.
As a Data Quality Automation Engineer, you'll design and build intelligent validation systems that work across multiple project types—from small microservices to large data migration systems. You'll also support BI projects by creating automated validation frameworks that eliminate manual testing.
AI-First Approach
We don't just test data—we build automated systems that use AI to validate, monitor, and improve data quality continuously. You'll leverage Claude CLI, agentic development frameworks, and modern AI tools throughout your development workflow, not as an afterthought.
Automation Over Manual Testing
Your success is measured by how much manual validation you eliminate, not how many test cases you execute. We're looking for someone who instinctively asks "how can I automate this?" rather than "how do I test this manually?"
Diverse Project Landscape
You'll work across:
- Data migration systems ensuring accuracy during large-scale transfers
- Microservices validating data flows between services
- BI projects creating automated validation for analytics and reporting
- AI/ML pipelines ensuring training data quality and model outputs
Build Automated Validation Systems (70%)
- Design and implement automated data validation frameworks that scale across projects
- Develop AI-powered quality checks that learn from patterns and anomalies
- Create programmatic tests that replace manual validation workflows
- Build monitoring systems that detect data issues before they impact patients or operations
- Write Python, PHP and SQL scripts that validate complex data relationships automatically
- Investigate complex data discrepancies that automated systems flag
- Perform targeted manual validation when building new automation
- Conduct root cause analysis and work with engineering teams to resolve systemic issues
- Validate data quality during critical migrations and system changes
- Partner with developers, ML engineers, and product teams to understand data requirements
- Recommend enhancements to data pipelines and validation processes
- Document data quality standards and automation patterns
- Share knowledge about AI tools and automation approaches with the team
Core Skills (Non-Negotiable)
1. Curiosity Above All
- You're the person who asks "why does this data look this way?" and digs until you understand
- You stay current with AI advancements and experiment with new tools
- You want to understand the cardiac monitoring domain, not just test data blindly
- Hands-on experience with Claude CLI, Cursor, or similar agentic development tools
- You've used AI to enhance your development workflow including agents and instruction files—not just as a chatbot
- Understanding of prompt engineering and when/how to leverage LLMs effectively
- Comfortable learning and adopting new AI tools quickly
- You find ways forward rather than reasons why something can't be done
- When you encounter a problem, you prototype solutions and iterate
- You're resourceful and can work through ambiguity independently
- Deep understanding of data structures, relationships, and dependencies
- You can look at a data model and intuitively understand validation requirements
- Strong SQL skills and ability to write complex queries to validate data integrity
- Experience thinking through data flows across systems
- Strong proficiency in Python and PHP (our primary automation languages)
- Comfortable with SQL (PostgreSQL and MySQL specifically)
- Experience writing scripts and tools, not just using them
- Familiarity with JavaScript for web application testing is a plus
- Experience with Puppeteer or other front-end testing is also preferred
3-5 years in software development, QA automation, or data engineering roles where you've built automated testing or validation systems. We value demonstrated ability with AI tools and automation mindset over years of traditional QA experience.
Remote Work Success
Since we're 100% remote, you must:
- Communicate proactively and clearly in writing
- Self-manage and stay productive without direct oversight
- Collaborate effectively across time zones
- Build relationships and contribute to culture remotely
Languages & Databases:
- PostgreSQL, MySQL
- Python, PHP, JavaScript
- SQL for complex data validation queries
- Claude CLI and agentic development frameworks (required)
- Experience with AI-powered code generation and testing tools
- Familiarity with prompt engineering
- Databricks, Snowflake
- Data quality frameworks (Great Expectations, dbt tests)
- Cloud platforms (AWS, Azure, GCP)
- Healthcare data standards (HL7, FHIR)
- Experience with medical device data
First 30 Days
- Ship your first automated validation script that eliminates manual work
- Demonstrate proficiency with Claude CLI and our AI development workflow
- Understand our data architecture and key validation challenges
- Establish relationships with engineering and product teams
- Build automated validation systems that create measurable time savings
- Identify and prioritize opportunities for AI-powered data quality improvements
- Become a trusted voice in technical discussions about data quality
- Contribute to establishing data quality standards and patterns
- Own the automated validation strategy across multiple project types
- Significantly reduce manual data validation work through automation
- Mentor team members on AI tools and automation approaches
- Help shape the culture and practices of the AI & Automation team
- Impact-focused: Everything we build affects real patients and their cardiac health
- Innovation-driven: We embrace new technologies and approaches
- Pragmatic: We ship solutions, not perfection
- Collaborative: We build together, learn together, and win together
- Ownership: We take responsibility for outcomes, not just outputs
- Ground floor opportunity: Be part of the founding team shaping our AI strategy
- Real impact: Your work directly affects patient care and health outcomes
- AI-first environment: Work with cutting-edge AI tools daily, not as a novelty
- Learning culture: Curiosity is valued; we invest in exploring new technologies
- Remote flexibility: Work from anywhere in the US with a truly distributed team
- Healthcare mission: Make a difference in cardiac patient monitoring
While performing the duties of this job, you will:
- Consistently remain in a stationary position working at a computer
- Constantly operate a computer and other office equipment
- Frequently communicate with team members via voice and video
- Exchange accurate information using voice over internet protocol
- Perform repetitive motions for data entry and programming
PaceMate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We want to see how you think about automation and AI tools, not just what's on your resume. When applying, please include:
- Your resume highlighting relevant experience
- A brief description (2-3 paragraphs) of a time you automated something that was previously manual, including:
- What problem you solved
- What tools/approach you used
- What impact it had
- One example of how you've used AI tools (like Claude CLI, Cursor, ChatGPT, etc.) in your work
Created:12/16/2025
Reviewed/Revised:
About PaceMate
Recognized as a Top 100 Healthcare Technology Company by Healthcare Technology Report, PaceMate offers the most comprehensive remote cardiac monitoring solution in the industry. PaceMateLIVE is the only clinical dashboard with user-friendly integrations for all implantable cardiac devices, ambulatory monitors, consumer ECGs, and heart failure products. PaceMate’s Auto-Triage™ prioritizes patients based on clinician-customized standards—not device alerts—resulting in a substantial reduction in alert burden. With the most live connections through EHR-partnered integrations across Epic, Cerner, and athenahealth, PaceMate offers a true, vetted, and validated industry-leading solution for interoperability: ensuring bi-directional data transfer for more accurate reporting, streamlined workflows, and one-click billing. PaceMate’s software-only, concierge on-demand, and full-service offerings deliver a flexible, customized solution for cardiac practices. Visit PaceMate.com to learn how one platform is transforming the future of digital health.
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