Lead Data Engineer

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Austin, TX / $175000 - $200000 annum

INFO

Salary

SALARY:

$175000 - $200000

Location

LOCATION

Austin, TX

Job Type
JOB TYPE

Permanent

LEAD DATA ENGINEER (HEALTHCARE ANALYTICS PLATFORM)

REMOTE (US)

$175,000 - $200,000 BASE + BENEFITS

The Opportunity

We're partnering with a rapidly growing SaaS company that helps healthcare, public sector, and human services organizations transform complex data into actionable insights. They're seeking a Lead Data Engineer to play a key role in evolving and scaling a customer-facing analytics platform used to drive meaningful outcomes across healthcare and community programs.

This is a highly impactful, hands-on technical leadership position for someone who enjoys solving complex data challenges, influencing architecture, mentoring engineers, and owning critical data systems from end to end.

The role combines deep technical execution with strategic influence, making it ideal for a senior engineer who wants to shape the direction of a data platform while remaining close to the technology.


The Engineering Environment

The team operates in a collaborative, customer-focused environment centered around:

  • Large-scale data ingestion and transformation
  • Customer-facing analytics and reporting solutions
  • Modern ELT data pipelines
  • Cloud-based data platforms and orchestration frameworks
  • Data modeling and architecture best practices
  • Continuous improvement, automation, and scalability
  • Cross-functional collaboration with Product, Analytics, Customer Success, and Implementation teams

What You'll Be Working On

  • Design, build, and maintain scalable data pipelines that power analytics products and customer reporting
  • Lead architecture discussions and make recommendations around data platform improvements
  • Develop and optimize data models used across reporting and analytics systems
  • Integrate, onboard, and transform new customer data sources
  • Troubleshoot customer-facing data issues and drive long-term solutions
  • Improve reliability, automation, observability, and operational efficiency across the data platform
  • Lead complex technical initiatives from planning and design through deployment and support
  • Establish engineering standards, best practices, and technical frameworks
  • Mentor and guide other engineers while helping elevate overall team capabilities
  • Influence platform roadmap decisions and the future direction of the data engineering function

What We're Looking For

  • 7-10+ years of software or data engineering experience
  • 5+ years of hands-on data engineering experience
  • Expert-level SQL skills
  • Strong Python experience focused on data processing and pipeline development
  • Deep experience building and supporting large-scale ELT/ETL data pipelines
  • Strong data modeling and data architecture expertise
  • Experience with workflow orchestration tools such as Airflow, Dagster, or similar platforms
  • Experience working with large, complex datasets and varying levels of data quality
  • Proven technical leadership experience mentoring engineers or leading small engineering teams
  • Ability to evaluate technical tradeoffs and make architecture recommendations
  • Strong communication skills with both technical and non-technical stakeholders

Nice to Have

  • Healthcare or healthcare analytics experience
  • dbt experience
  • PostgreSQL expertise
  • Experience across multiple database technologies
  • Background modernizing or migrating enterprise data platforms
  • Experience supporting customer-facing analytics products

Why This Role

  • Lead-level scope with significant technical ownership and influence
  • Opportunity to shape the architecture and future direction of a growing data platform
  • Highly visible work that directly impacts customers and end users
  • Strong balance of hands-on engineering and technical leadership
  • Collaborative, mission-driven environment focused on improving healthcare outcomes
  • Fully remote work environment
  • Potential long-term path into engineering leadership and people management
  • Competitive compensation package and comprehensive benefits

This is an opportunity for a senior data engineering leader who enjoys solving ambiguous problems, building scalable data solutions, influencing architecture decisions, and helping teams deliver trusted analytics products at scale.


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