Manager, Data Engineering

Waystar, Inc; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive total rewards

3 medical plans with HSA

Paid time off - 3 weeks + 13 holidays

Parental leave

Education assistance

LinkedIn Learning access

401(K) with company match

Pet insurance

Job summary

Waystar, Inc is seeking a Technical Manager, Data Engineering to lead and scale its data engineering function on a modern BigQuery-based platform. You will manage a team, own delivery, and drive architectural decisions across Bronze/Silver/Gold data layers on GCP.

You will partner with governance and business domains to ensure a governed, high-performing data ecosystem while delivering scalable ingestion, transformation pipelines and domain-aligned data models.

Qualifications

• 8+ years of data engineering experience on enterprise-scale platforms.
• 2+ years leading or managing data engineering teams.
• Hands-on expertise with GCP and BigQuery.
• Advanced experience with dbt (required).
• Experience with Fivetran and API-based ingestion frameworks.
• Strong Python skills including API integrations and automation.
• Proven experience building scalable ELT pipelines and data models.

Responsibilities

• Lead and scale a team of data engineers across multiple domains.
• Drive sprint delivery, engineering best practices and adoption of standards.
• Define data engineering standards, patterns, and governance.
• Oversee ELT pipelines into BigQuery using Fivetran and custom APIs.
• Review and optimize dbt models, transformations and orchestration.
• Implement and monitor data quality, observability, and governance.

Skills

Team leadership

GCP BigQuery

dbt

Python

Fivetran

API integrations

GitHub CI/CD

Terraform

Data governance

Tools

BigQuery

dbt

Cloud Composer

Fivetran

Terraform

GitHub Actions

Job description

ABOUT THIS POSITIONWe are seeking a Technical Manager, Data Engineering, to lead and scale Waystar’s data engineering function while actively contributing to the delivery of our modern data platform. This role combines people leadership, technical ownership, and hands-on engineering to drive execution across our BigQuery-based data platform.You will be responsible for managing a team of data engineers, setting technical directions, and ensuring the successful delivery of scalable ingestion and transformation pipelines across a Medallion architecture (Bronze/Silver/Gold) on Google Cloud Platform (GCP). This leader will partner closely with platform leadership, governance, and business domains to establish a reliable, governed, and high-performing data ecosystem.WHAT YOU'LL DOTeam Leadership & Delivery OwnershipLead, mentor, and scale a team of data engineers supporting multiple business domainsDrive delivery accountability, sprint execution, and engineering best practicesEstablish development standards, code reviews, and performance expectationsManage capacity, workload balance, and resource planning across initiativesPartner with leadership to align engineering priorities with strategic goalsTechnical Leadership & ArchitectureDefine and enforce data engineering standards, patterns, and best practicesProvide hands-on technical leadership across BigQuery, dbt, and ingestion frameworksGuide architecture decisions for scalable, secure, and cost-efficient data pipelinesLead design of domain-aligned, reusable data models and pipelinesEnsure alignment with governance, data classification, and access control frameworksPipeline Engineering & Delivery (Hands-On)Design, build, and maintain ELT pipelines into BigQuery using Fivetran and custom APIsOversee and contribute to development of bronze, silver, and gold layersSupport and review dbt models, transformations, and orchestration workflowsImplement orchestration using Cloud Composer (Managed Airflow)Act as an escalation point for complex technical issues and delivery risksData Quality, Observability & GovernanceEnforce data quality, validation, and monitoring standards across pipelinesImplement logging, alerting, and observability frameworksEnsure performance optimization for BigQuery (partitioning, clustering, cost management)Enforce security best practices including IAM roles, data access, and auditabilityDrive adherence to data lineage, documentation, and governance requirementsPlatform Engineering & EnablementChampion CI/CD practices using GitHub and modern deployment pipelinesDrive Infrastructure-as-Code standards (Terraform) for platform consistencyImprove developer experience, onboarding, and engineering productivityCollaborate with Data Governance and Data Champions to enable domain ownershipWhat You’ll Need8+ years of data engineering experience with enterprise-scale platforms2+ years of experience leading or managing data engineering teamsStrong hands-on expertise with GCP and BigQueryAdvanced experience with dbt (required)Experience with Fivetran and API-based ingestion frameworksStrong Python skills including API integrations and automationProven experience building scalable ELT pipelines and data modelsExperience with data quality, validation frameworks, and observabilityProficiency with GitHub, CI/CD workflows, and code review practicesStrong understanding of data governance, lineage, and access controlsExperience working in regulated environments (e.g., healthcare) preferredWHAT YOU'LL NEEDExperience leading teams through cloud data platform migrations (e.g., Snowflake BigQuery)Experience with Terraform (IaC) and platform automationFamiliarity with Harness CI/CD and GitHub ActionsExperience with Snowflake and Azure Data Factory (ADF)Knowledge of data mesh / domain-driven data ownership modelsExperience driving engineering standards across distributed teamsABOUT WAYSTARThrough 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. For more information, visit waystar.com or follow @Waystar on Twitter.WAYSTAR PERKSCompetitive 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 holidaysPaid parental leave (including maternity + paternity leave)Education assistance opportunities and free LinkedIn Learning accessFree mental health and family planning programs, including adoption assistance and fertility support401(K) program with company matchPet insuranceEmployee resource groupsWaystar 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.