Data Engineer

ABOUT THIS POSITION

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.
You will work alongside senior engineers and architects to help build and maintain data pipelines, contribute to modern Medallion architecture (Bronze/Silver/Gold), and learn best practices in cloud data engineering, governance, and analytics delivery.

WHAT YOU'LL DO

What You’ll Do

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

What You’ll Bring

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

WHAT YOU'LL NEED

• 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)

WAYSTAR PERKS

• Competitive total rewards (base salary + bonus, if applicable)
• Customizable benefits package (3 medical plans with Health Saving Account company match)
• We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer 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

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.