Job Description
Job Description
Work Model: Hybrid (onsite 3–4 days per week, Southern California – commutable distance to 91730)
Minimum Experience: 6–8 years data engineering, data platform, or related software/data infrastructure experience
Role Summary
Our client, a healthcare organization with a strong emphasis on data-driven decision-making and regulatory compliance, is seeking a Data Engineer (Level II or III). This role is responsible for designing, building, and maintaining scalable data solutions that support enterprise data platforms and analytics needs.
The Data Engineer will lead the development of data pipelines, transformation logic, and data architecture while ensuring solutions are secure, efficient, and aligned with organizational standards. The role requires close collaboration with cross-functional teams to support business and member data needs, improve data quality, and enable advanced analytics capabilities.
This position is expected to serve as a technical leader, providing guidance on best practices, reviewing code, and mentoring junior engineers where applicable.
Key ResponsibilitiesData Engineering & Architecture
- Design, develop, and implement scalable and reliable data solutions based on business requirements
- Build and maintain data pipeline architectures aligned with security, performance, and scalability standards
- Develop and support data transformation processes and data integration workflows
- Contribute to data architecture design and maintain documentation such as data flow diagrams, process maps, and technical design documents
- Identify trends in datasets and develop logic or algorithms to improve data usability and insights
Data Platforms & Cloud Engineering
- Design and deploy cloud-based data solutions, particularly within Azure data services (e.g., Data Lake, Data Factory, Synapse, Azure SQL, Cosmos DB)
- Build and optimize large-scale data warehouses and data pipelines
- Work with relational and non-relational databases (e.g., SQL Server, MongoDB or similar NoSQL platforms)
- Integrate and manage data from multiple sources including APIs and external systems
Development & Automation
- Develop complex scripts, functions, and services supporting data engineering and data services teams
- Work with programming and scripting languages such as Python, Java, C#, SQL, JSON, and XML
- Implement DevOps practices and CI/CD pipelines using tools such as Azure DevOps, GitHub, or GitLab
- Automate manual processes and improve data delivery and infrastructure efficiency
Data Quality, Governance & Support
- Perform root cause analysis on data issues and implement corrective and preventive solutions
- Ensure data solutions meet privacy, compliance, and performance requirements (especially in healthcare context)
- Support data mapping, data quality improvement, and system integration efforts
- Apply applicable data privacy standards and regulatory considerations
Collaboration & Leadership
- Work closely with engineering, data, and business teams to deliver enterprise data solutions
- Conduct code reviews and ensure adherence to coding and design standards
- Mentor junior engineers (Level I/II) as applicable
- Communicate technical concepts clearly to stakeholders and management
- Serve as a subject matter expert on key data initiatives and projects
Required Qualifications
- 6–8 years of experience in data engineering, data platforms, or related software engineering roles
- Strong experience designing and building scalable data pipelines and data warehouse solutions
- 4–8 years of experience working with relational databases (e.g., SQL Server) and data modeling
- Strong programming skills in at least one of the following: Python, Java, or C# (plus SQL required)
- Experience with cloud data platforms, particularly Azure (Data Lake, Data Factory, Synapse, Cosmos DB or similar)
- Experience with CI/CD pipelines and source control tools (GitHub, GitLab, or Azure DevOps)
- Strong understanding of SDLC methodologies (Agile, Scrum, Kanban, Waterfall)
- Experience working with APIs, data ingestion, and integration workflows
- Strong analytical, debugging, and root cause analysis skills
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field
Preferred Qualifications
- Experience with healthcare data environments or regulated industries
- Familiarity with HL7 / FHIR standards
- Experience with stream processing or messaging systems
- Experience with big data tools and distributed systems
- Experience with ERD design and data modeling tools (e.g., Visio or similar)
Compensation & Work Model
- Full-time, direct hire position
- Hybrid schedule with onsite work required 3–4 days per week (Southern California, near 91730)
- Role includes technical leadership responsibilities, including mentoring and code review
- Must be authorized to work in the United States (no sponsorship available)