Sr. Data Engineer

Role overview Build and improve the data platform that supports analytics and emerging machine learning capabilities. This hands-on senior engineering role combines reliable data pipelines and platform architecture with the development of end-to-end ML workflows, working closely with data scientists, analysts, and product partners. The work also includes setting reusable engineering patterns and promoting responsible, observable production systems.

Responsibilities - Design, operate, and improve scalable data ingestion, transformation, and storage systems, with strong testing and observability. - Build frameworks, automation, and tooling that improve engineering speed while protecting reliability. - Develop ML workflows from data preparation through training, experimentation, production deployment, and integration with downstream services or dashboards. - Monitor model and production behavior, including accuracy, drift, bias, fairness, and reproducibility. - Share knowledge, mentor peers, and contribute to continuous improvement of engineering practices. - Use AI tools in daily work to support research, drafting, iteration, and decision-making.

Requirements - At least five years of experience in data, platform, or ML engineering. - Bachelor's degree or equivalent in computer science, data science, statistics, engineering, or a related discipline. - Strong SQL and Python skills, with familiarity in modern data engineering frameworks and infrastructure. - Experience with data operations practices, monitoring, pipeline automation, and CI/CD. - Experience using AWS or GCP data engineering services and big data frameworks. - Understanding of data modeling and medallion architecture, plus a collaborative approach to learning and improving.

Nice to have - Experience building end-to-end ML workflows and integrating them with clinical records systems, microservices, or dashboards. - Familiarity with Spark, TensorFlow, PyTorch, or scikit-learn, and experience building production APIs or services. - Background in healthcare, behavioral health, EHR systems, or another regulated field; experience with tools such as dbt, Airflow, Airbyte, Redshift, or BigQuery.

Benefits and work setup Eligible employees can choose among medical plan options and access dental and vision coverage, a medical care membership, a traditional or Roth 401(k), paid holidays and accrued sick time, and company-paid life and disability insurance. Paid bonding leave is available to full-time employees after six months, and role-related professional development may be reimbursed.