Senior Data Engineer

🔥 42 minutes ago

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Med-Metrix

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

🏥 Healthcare

☁️ SaaS

🔥 Funding within the last year

💰 Private equity on 2025-09

Healthcare • SaaS

Med-Metrix is a company for which only a minimal web presence was provided (the page only displayed "Loading application... Your web browser must have JavaScript enabled... "). No product, market, or mission details were included in the supplied text. Based on the company name alone, it plausibly focuses on medical or clinical metrics, analytics, or healthcare software, but that is speculative and not confirmed by the provided information. Further public details would be required to be more specific.

📋 Description

• Collaborate with the Team Lead and cross‑functional teams to gather and refine data requirements for Denials AI solutions • Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services (Athena, Glue, SQS) • Develop and maintain data models in PostgreSQL; write efficient SQL for querying and performance tuning • Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures • Enforce data quality and governance standards, including HIPAA compliance for PHI handling • Conduct code reviews, share best practices, and mentor junior data engineers • Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms • Document data workflows, schemas, and operational runbooks to support team knowledge transfer

🎯 Requirements

• Bachelor’s or master’s degree in Computer Science, Data Engineering, or related field • 5+ years of hands‑on experience building and operating production‑grade data pipelines • Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or other similar tools such (Microsoft SSIS, AWS Glue, Air Flow) • Strong SQL skills on PostgreSQL for data modeling and query optimization or any other similar technologies (Microsoft SQL Server, Oracle, AWS RDS) • Working knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch • Basic proficiency in Python and Python data frameworks (Pandas, PySpark) • Experience with version control (GitHub) and CI/CD for data projects • Familiarity with healthcare data standards and HIPAA compliance • Experience mentoring or leading small technical efforts • Proficiency in Microsoft Office Suite • Strong interpersonal skills, ability to communicate well at all levels of the organization • Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses • High level of integrity and dependability with a strong sense of urgency and results oriented • Excellent written and verbal communication skills required.

🏖️ Benefits

• Regular working hours • On-call for data pipeline incident response