Data Engineer

We are seeking a Junior Data Engineer to join Waystar’s Business Data & Architecture team and support our data modernization journey on Google Cloud Platform (GCP). This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar program) with a strong foundation in data, software engineering, or analytics, and a passion for building scalable data solutions.

Responsibilities

• Data Pipeline Development (Learn & Build)
  • Assist in building and maintaining data pipelines into BigQuery using tools such as Fivetran and Python
  • Support development of bronze, silver, and gold data layers for analytics use cases
  • Contribute to data transformations using dbt (training provided if needed)
  • Work with senior engineers to understand orchestration and scheduling concepts
• Data Quality & Reliability
  • Help implement basic data validation and data quality checks
  • Support monitoring of pipelines and troubleshooting data issues
  • Learn best practices for logging, testing, and error handling
• Platform & Engineering Practices
  • Contribute to version-controlled development using GitHub
  • Assist in documenting data pipelines, transformations, and data models
  • Learn CI/CD and Infrastructure-as-Code concepts (Terraform exposure)
• Governance & Collaboration
  • Partner with data engineers, analysts, and business stakeholders to understand data requirements
  • Support data classification, lineage, and governance initiatives
  • Participate in Data Champions and domain-based data ownership practices

Requirements

• Required Qualifications
  • Bachelor’s degree in computer science, Data Engineering, Information Systems, or related field
  • Strong academic foundation in:
    • SQL
    • Python or similar programming language
    • Data structures and problem-solving
  • Internship, coursework, or project experience in data engineering, analytics, or cloud platforms
  • Willingness to learn modern data tools and cloud technologies
  • Strong communication and collaboration skills
• Preferred Qualifications
  • Exposure to cloud platforms such as GCP, AWS, or Azure
  • Familiarity with:
    • BigQuery or relational databases
    • dbt or data transformation tools
    • APIs and data ingestion concepts
  • Experience with Git or version control
  • Academic or personal projects involving data pipelines or analytics
• Skills Needed
  • Building scalable data pipelines in a modern cloud platform (GCP / BigQuery)
  • Data modeling and Medallion architecture design
  • dbt-based transformation and analytics engineering
  • Data quality frameworks and observability
  • Data governance, classification, and secure access controls
  • Real-world enterprise data platform delivery
  • SQL
  • Python (or similar language)
  • Basic data modeling / analytics concepts
  • Git or version control (exposure)

About Waystar

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.

Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans.

Benefits

• Competitive total rewards (base salary + bonus, if applicable)
• Customizable benefits package (3 medical plans with Health Saving Account company match)
• Generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. Flexible time off for our exempt team members + 13 paid holidays
• Paid parental leave (including maternity + paternity leave)
• Education assistance opportunities and free LinkedIn Learning access
• Free mental health and family planning programs, including adoption assistance and fertility support
• 401(K) program with company match
• Pet insurance
• Employee resource groups

Full-time position.