Senior Data Engineer

Advanced Medical Management, Inc.; Long Beach (CA); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Full health coverage

401(k) and retirement plans

Tuition reimbursement

Generous PTO and holidays

Job summary

Advanced Medical Management, Inc. seeks a Senior Data Engineer to own and evolve our enterprise data platform, including Snowflake and dbt, to enable reliable reporting and decision-making in a HIPAA-regulated environment.

You will design and optimize ELT pipelines using SQL and Python, partner with BI and IT teams, ensure data quality and governance, and drive automation and scalability across the data ecosystem.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent.
• 5+ years designing and supporting enterprise data platforms and data warehouses.
• 3+ years with Snowflake and dbt in production environments.
• Proficiency in SQL and Python for ELT pipelines and automation.
• Strong data modeling, governance, and performance optimization knowledge.
• Experience with cloud platforms (AWS) and CI/CD tooling.
• Healthcare/HIPAA experience preferred; ability to work across teams.

Responsibilities

• Own the organization's enterprise data platform, including Snowflake and dbt.
• Lead design, governance, and optimization of data pipelines and architecture.
• Develop ELT pipelines in SQL and Python sourcing data from multiple systems.
• Maintain scalable, reliable infrastructure and deployment tooling.
• Ensure data quality, validation, monitoring, and documentation.
• Collaborate with BI, application owners, and IT leadership on requirements.
• Troubleshoot data issues and coordinate data integrations with vendors.
• Uphold HIPAA compliance and IT governance standards.

Skills

SQL

Python

Data modeling

Data governance

Problem-solving

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent

Tools

Snowflake

dbt

Airflow

Dagster

Terraform

CI/CD

AWS (S3, Lambda, ECS)

Job description

The Senior Data Engineer is responsible for the ownership, design, development, optimization, and ongoing support of the organization's enterprise data platform. This role serves as the primary technical owner of the Snowflake data warehouse, dbt transformation framework, and supporting data engineering ecosystem, ensuring the integrity, quality, availability, reliability, and scalability of enterprise data assets that support reporting, analytics, and operational decision-making.

This individual partners closely with business stakeholders, Business Intelligence developers, application owners, data support teams, and IT leadership to design and maintain scalable data solutions, integrate data from multiple operational systems, and transform raw data into trusted business information. The Senior Data Engineer is responsible for driving data platform strategy, data operations, automation, infrastructure improvements, and governance while ensuring the organization has the technical capability to independently maintain and evolve its data environment. This position reports to the VP of IT.

RESPONSIBILITIES – DUTIES

• Serve as the technical owner of the organization's enterprise data platform, including Snowflake, dbt, and supporting data engineering technologies, ensuring the integrity, quality, availability, performance, and operational excellence of enterprise data assets.
• Lead the design, development, governance, and ongoing optimization of dbt models, transformation logic, data pipelines, and enterprise data architecture to deliver trusted, reusable datasets for reporting, analytics, and operational decision‑making.
• Design, develop, and optimize scalable ELT pipelines using SQL and Python to integrate data from SQL Server, vendor applications, APIs, flat files, and other enterprise data sources into the Snowflake data warehouse.
• Maintain and evolve the data platform by evaluating, implementing, and supporting infrastructure, automation, deployment processes, and operational tooling required to improve scalability, reliability, and maintainability.
• Establish and maintain enterprise data quality standards, validation processes, monitoring, alerting, and documentation to ensure accurate, reliable, and trusted data across the organization.
• Partner with business stakeholders, Business Intelligence developers, application owners, and internal IT teams to understand requirements, make data architecture decisions, and deliver scalable data solutions.
• Collaborate with internal support teams and third‑party vendors to troubleshoot complex data issues, support enterprise data integrations, and ensure reliable data movement across business systems.
• Recommend improvements to data architecture, engineering standards, automation, infrastructure, and development practices while promoting data engineering best practices.
• Ensure compliance with HIPAA, organizational security standards, change management processes, and IT governance requirements while maintaining the confidentiality and integrity of protected health information (PHI).

EDUCATION & EXPERIENCE REQUIREMENTS

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or an equivalent combination of education and experience.
• 5+ years of experience designing, developing, and supporting enterprise data platforms, data warehouses, and large‑scale data integration solutions.
• 3+ years of hands‑on experience developing and supporting Snowflake data warehouse environments and dbt transformation frameworks.
• Proficiency in SQL and Python, with experience developing data pipelines, automation solutions, and data engineering applications.
• Strong understanding of data modeling, enterprise data architecture, ELT best practices, data quality, governance, and platform performance optimization.
• Experience with cloud‑based data platforms and infrastructure, including familiarity with AWS services such as S3, ECS, Lambda, and related cloud technologies.
• Experience with automation tooling such as Terraform, as well as source control and CI/CD practices preferred.
• Experience with workflow orchestration tools such as Airflow, Dagster, or similar platforms preferred.
• Experience working within a healthcare, MSO, IPA, Medical Group, Health Plan, or other HIPAA‑regulated environment preferred.
• Strong analytical, troubleshooting, communication, documentation, and problem‑solving skills with the ability to independently make technical decisions and collaborate effectively across business and technical teams.
• Experience working within structured change management, release management, and IT governance processes.
• Work authorization for the United States required.

AMM BENEFITS

When you join AMM, you’re not just getting a job—you’re getting a benefits package that puts YOU first:Health Coverage You Can Count On:

• Full employer‑paid HMO and the option for a flexible PPO plan.
• Wellness Made Affordable: Discounted vision and dental premiums to help keep you healthy from head to toe.
• Smart Spending: FSAs to manage healthcare and dependent care costs, plus a 401(k) to secure your future.
• Work-Life Balance: Generous PTO, 40 hours of sick pay, and 13 paid holidays to enjoy life outside of work.
• Career Development: Tuition reimbursement to support your education and growth.
• Team Fun: Paid company outings and lunches because we work hard, but we also know how to have fun!