Data Engineer (AI/ML)

Job Description

• Design, build, and maintain reliable, high-performance data pipelines for large-scale structured and unstructured healthcare data. 

• Use PySpark and modern cloud-based tools (Databricks, AWS Glue, EMR, Snowflake) to transform and process data efficiently. 

• Support ingestion, transformation, and validation processes that ensure data consistency, integrity, and availability. 

• Partner with Data Architects, Data Scientists, and Analysts to translate business needs into scalable engineering solutions. 

• Collaborate with platform and DevOps teams to deploy, scale, and monitor data pipelines using Airflow and Kubernetes. 

• Participate in code reviews, documentation, and continuous improvement efforts across the engineering team. 

• Implement and maintain data validation frameworks to ensure pipeline accuracy and completeness. 

• Contribute to best practices in version control, metadata management, and reproducibility. 

• Stay current with emerging technologies in data engineering and cloud computing, recommending improvements to existing infrastructure. 

• Participate in performance tuning, cost optimization, and scaling strategies for cloud-based data systems. 

• Identify automation opportunities to streamline ETL/ELT processes and reduce operational overhead. 

• Share knowledge and mentor junior team members on tools, techniques, and best practices. 

• Promote a culture of collaboration, innovation, and continuous learning within the engineering organization. 

• Support compliance with SOC 2, HIPAA, and GDPR by adhering to established data privacy and security practices. 

Required Education, Certifications and Experience:

Education:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 

The posted salary range is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the hiring range and this hiring range may also be modified in the future. A candidate’s position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs. This job is also eligible for annual bonus incentive pay. 

We offer a comprehensive package of benefits including paid time off, 11 holidays, medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.