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

Industrials

11-50 (11)

Founded 2019

15 open positions

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Data Engineering Manager

1 month, 1 week ago

United States

Full-time

Lead

Engineering Manager

Software Development

Agile Apache Airflow AWS AWS CDK CI/CD CloudFormation dbt Git Machine Learning MLOps PostgreSQL Python Serverless Snowflake SQL Terraform

Apply Now

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

View All Jobs 15

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.

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