Senior Data Engineer

9am.ai Inc.

Job Overview

Location

United States

Job Type

Full-time

Full Job Description

📋 Description

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows in Python using AWS Glue, Apache Spark, Airflow, or equivalent orchestration tools.
• Write production-grade Python code for data warehouse logic, reporting jobs, data transformations, and internal tooling, adhering to software engineering best practices including testing, code review, and CI/CD.
• Develop and optimize analytical data models using dimensional, OBT, or hybrid approaches to support self-service BI and advanced analytics.
• Build and maintain dashboards, explores, and semantic layers in Looker (LookML) and/or Tableau, serving as the primary owner of analytics infrastructure, data quality, and governance.
• Contribute backend application code in Java (Spring Boot) or Python to support data-intensive features, API integrations, and internal services.
• Champion AI-assisted development practices across the data team by integrating tools like GitHub Copilot, Claude, Cursor, or similar AI coding assistants to accelerate delivery and improve code quality.
• Author and maintain comprehensive SQL assets including stored procedures, views, and complex queries across Redshift, Aurora/MySQL, and Athena.
• Operate and optimize AWS data infrastructure components including Glue, S3, Redshift, CloudFormation, CloudWatch, IAM, and Athena.
• Collaborate with clinical operations, product, finance, and engineering teams to translate business questions into reliable, well-documented data products.
• Implement data quality frameworks, monitoring, alerting, and incident response processes for the data platform to ensure reliability and trustworthiness.
• Contribute to the architecture and data strategy for AI/ML features including data preparation, feature engineering, and model monitoring.
• Mentor the existing data analyst and data engineer, establishing team standards for code review, documentation, and operational norms.
• Ensure data governance and compliance with regulatory requirements in a healthcare environment, including awareness of HIPAA principles.
• Optimize data pipeline performance, cost efficiency, and scalability across AWS services while maintaining alignment with business and clinical objectives.
• Participate in cross-functional planning to align data infrastructure with product roadmaps and clinical workflows supporting obesity, diabetes, hypertension, and dyslipidemia management.
• Maintain and improve infrastructure-as-code practices using CloudFormation and contribute to containerized deployments via Docker, ECS, or EKS.
• Drive continuous improvement in developer experience through automation, tooling, and process enhancements for data engineering workflows.

🎯 Requirements

• 10+ years of professional experience in data engineering, analytics engineering, or a hybrid data/backend software engineering role.
• Strong software engineering background with ability to write, test, debug, and ship production code—not just query data.
• Expert-level Python for building production data pipelines, ETL logic, and reporting systems.
• Expert-level SQL with deep knowledge of window functions, CTEs, recursive queries, and performance tuning at scale.
• Hands-on experience with AWS data services: Glue, S3, Redshift, Athena, CloudFormation, CloudWatch, and IAM.
• Hands-on experience with AWS Glue, Spark, dbt, Airflow, or comparable frameworks for building and operating data pipelines.

🏖️ Benefits

• Health, dental, and vision insurance.
• Flexible PTO and work-from-home options.
• Professional development budget and support for continuing education.
• Opportunity to make a meaningful impact on chronic disease management and patient outcomes.
• Collaborative, mission-driven culture focused on improving healthcare accessibility and affordability.
• Commitment to diversity and inclusion with active efforts to reflect patient demographics in the workforce.

Skills & Technologies

Python

Java

Spring

MySQL

AWS

Senior

Hybrid

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9am.ai Inc.

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About 9am.ai Inc.

9am.ai provides AI-driven workforce analytics that help companies optimize hybrid work policies, desk availability, and team collaboration. Its platform integrates with calendars, sensors, and HR systems to deliver real-time occupancy data, predictive scheduling, and carbon-impact insights, enabling organizations to reduce real-estate costs, improve employee experience, and meet sustainability targets through smarter office utilization.

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