Senior Data Engineer

Orthopaedic Hospital
Los Angeles, CA, United States
3 months ago
Apply on indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$120,000.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Microsoft Azure Cloud Computing Databases Data Dictionary Data Distribution Service Information Engineering Data Files Data Infrastructure Extract Transform Load (ETL) Data Security
+11 more
Data Systems Python (Programming Language) Sage Accounting SQL Databases Systems Integration Electronic Medical Records Information Technology Data Analytics Careconnect Tools for Reporting Data Pipelines

Job description

The Senior Data Engineer functions as the primary technical expert for data infrastructure and analytics platforms across Luskin OIC, OHMG, ASC, OIC Holding and LuskinOIC Foundation. This role serves as a liaison between data stakeholders, IT, finance, and operational teams and works under the direction of leadership to design, build, and maintain source systems, dashboards, and databases. Key operational activities include analyzing and integrating clinical and financial data, creating data distribution to operators and ensuring data quality and governance. Key technical activities include optimizing data models and supporting reporting and analytics initiatives., * Lead the design and development of scalable data pipelines and architectures, partnering with clinical, operational, and business stakeholders to enable data-driven decisions.

  • Establish and maintain standardized business metrics and reporting models to ensure consistent, organization-wide definitions across dashboards and reporting tools.
  • Integrate data from source systems including the EMR (e.g., CareConnect), billing systems, purchasing system (e.g., Envi) and financial systems (e.g., Sage Intacct) to develop data sets and analytics that could drive operational decisions.
  • Monitor data systems performance and troubleshoot issues.
  • Analyze workflows and recommend system and process improvements.
  • Support reporting and analytics initiatives by preparing datasets for BI tools.
  • Ensure data quality, integrity, and governance standards are maintained.
  • Collaborate with cross-functional teams to support data needs.
  • Develop documentation, data dictionaries, and training materials.
  • Communicate with vendors and technical teams regarding system issues.
  • Provide status updates to leadership on data initiatives and projects.
  • Ensure compliance with HIPAA and data security requirements.
  • Follow change management processes for system updates and enhancements.
  • Mentor junior staff and support knowledge sharing across teams.
  • All other duties as assigned.

Requirements

Do you have experience in Vendor communication?, Do you have a Bachelor’s degree?, * Bachelor’s degree in Computer Science, Data Engineering, or related field.

  • 5-8+ years of experience in data engineering or related roles.
  • Strong proficiency in SQL and Python.
  • Experience with ETL tools (e.g., Airflow, dbt).
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Experience with healthcare data systems (EMR, claims, revenue cycle).
  • Knowledge of HIPAA and healthcare data compliance.
  • Strong problem-solving and analytical skills.
  • Excellent communication and organizational skills.
  • Ability to manage multiple priorities and meet deadlines., Ability to perform highly detailed work in a fast paced environment with sustained attention, while providing/obtaining accurate information on numerous inquiries is paramount to success in this position.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:38 min

Reusing email software standards for HTTP file uploads

Imran Nazar · World Congress 2023

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

3:30 min

Approaching data problems with an engineering and strategy mindset

Becky Gandillon · LIVE

Videos

See all

Related articles

See all