SmarterDx

SmarterDx

SmarterDx ensures revenue integrity by leveraging A.I. algorithms to uncover missed opportunities in clinical data, optimizing tasks for accurate ICD 10 coding and guaranteeing a 5:1 ROI.

Professional Services
11-50
Founded 2019

Description

  • Lead, coach, and develop a team of senior data engineers.
  • Contribute to the data engineering roadmap by designing and implementing new pipeline architectures, patterns, and reusable frameworks.
  • Architect scalable data solutions using dbt, Airflow, Snowflake, AWS, Python, and SQL.
  • Establish development standards and best practices for code reviews, testing, CI/CD, and documentation.
  • Develop advanced data models and transformations using dbt patterns such as custom macros, packages, and incremental models.
  • Collaborate with Product, Clinical, Data Science, and Software Engineering teams to translate requirements into technical solutions.
  • Build automated data quality, monitoring, and observability frameworks to improve data reliability at scale.
  • Create developer productivity tools and accelerators to help the team ship faster with higher quality.
  • Drive technical design reviews, architectural decisions, and technology evaluations to support scalability and maintainability.

Requirements

  • 7+ years of data engineering experience, including leadership of engineers and technical projects.
  • Deep expertise with the modern data stack, including advanced dbt development, Snowflake optimization, Python, and SQL at scale.
  • Strong AWS cloud architecture experience, including serverless and infrastructure-as-code patterns.
  • Proven track record of building and scaling data platforms that support analytics, ML, and product features.
  • Experience with Git, CI/CD, testing, code reviews, and agile development practices.
  • Ability to balance technical innovation, technical debt, performance optimization, and feature delivery.
  • Excellent communication and technical leadership skills, including mentoring senior engineers and driving architectural decisions.
  • Experience working with healthcare datasets and understanding their contextual and relational complexity.
  • Experience at a scale-up or rapid-growth technology company, preferred.
  • Advanced Snowflake features experience such as streams, tasks, dynamic tables, and data sharing, preferred.
  • Infrastructure-as-code proficiency with AWS CDK, CloudFormation, or Terraform, preferred.
  • ML engineering experience with feature stores, model deployment, and MLOps practices, preferred.
  • Healthcare interoperability knowledge such as HL7, FHIR, or CCD/C-CDA, preferred.
  • Relevant certifications such as Snowflake SnowPro Advanced, AWS Data Analytics or Solutions Architect Professional, dbt, or CHDA/RHIA, preferred.
  • Experience building data mesh architectures or domain-driven data platforms, preferred.

Benefits

  • $190,000 to $220,000 base salary.
  • Medical, dental, and vision coverage with 75% of premiums covered depending on the plan.
  • Up to 12 weeks of paid parental leave.
  • Fully remote work within the U.S.
  • Unlimited PTO plus 10 holidays.
  • 401(k) with traditional and Roth options and a 4% company match.
  • A minimal-bureaucracy, high-impact work environment.

Interested in this position?

Apply directly on the company website

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