Sr Manager, Data Engineering (Healthtech)

W2 only, no C2C, must be authorized to work in the US (both now and in the future).

Sr Manager, Data Engineering (Healthtech) (Direct Hire) - Remote in Seattle, Washington. Apply now for this opportunity at Carex!

Carex is partnering with a fast moving healthtech startup partner to hire a Sr. Manager, Data Engineering. The Sr. Manager, Data Engineering will serve as a hands-on technical leader and strategic visionary, responsible for building and scaling a modern, secure, and high-performance data engineering platform. This is a unique opportunity to define architecture, establish roadmap priorities, and bring process maturity to a rapidly growing team in a fast-paced healthtech environment. The role will directly influence the direction of both customer-facing data products and internal analytics infrastructure, balancing execution with cross-functional leadership in a highly regulated domain.

What You’ll Do

• Lead, mentor, and grow a high-performing team of data engineers, including offshore and contract resources.
• Set the vision and define a clear roadmap for the data engineering platform aligned with business goals.
• Architect scalable and secure data pipelines that support structured, semi-structured, and unstructured data workloads.
• Split the team into two capability-focused groups: one for immediate customer data needs, and one for long-term product and platform development.
• Build the supporting architecture and workflows to enable the above team structure.
• Drive adoption of best-in-class practices including CI/CD, Infrastructure as Code, observability, and test automation.
• Ensure HIPAA and HITRUST compliance while managing data governance and quality standards.
• Collaborate with engineering, product, and business teams to deliver integrated, data-driven solutions.
• Manage vendor relationships and third-party data integration strategies.
• Balance hands-on coding with strategic leadership in a “player-coach” role.
  
  
  

What You’ll Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7 years of experience in data engineering, including 2 years in a leadership role.
• Proven expertise designing and managing large-scale data architectures and pipelines.
• Deep proficiency with Spark, Flink, dbt, Airflow or Prefect.
• Strong hands-on experience with Python, Scala, SQL, and both relational and NoSQL data systems.
• Familiarity with cloud data platforms (AWS or GCP), Databricks, and lakehouse/data warehouse solutions such as Snowflake, BigQuery, or Redshift.
• Knowledge of visualization tools such as Tableau, Power BI, or D3.js.
• Experience with CI/CD systems, version control (Git), and production-grade software delivery.
• Exceptional ability to lead technical teams and drive architectural decisions in ambiguous or evolving environments.
• Strong communication skills with the ability to influence stakeholders and present across technical and non-technical audiences.
  
  
  

Preferred Qualifications

• Experience with real-time streaming architectures and low-latency pipelines.
• Familiarity with deploying ML models in cloud environments using Databricks.
• Exposure to advanced analytics or AI techniques such as NLP, reinforcement learning, or deep learning.
• Prior experience working with healthcare data, including regulatory and compliance frameworks.
  
  
  

Compensation

$140,000–$200,000 annually, depending on experience.

If the range doesn’t align with your needs, please still apply! Carex values transparency in all steps of the recruiting process. The range listed above is dependent on skills and experience as it relates to the role. New roles arise every day, and we want you to be the first to know when the right role pops up for you.

Carex Consulting Group is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.