Senior Data Engineer: Cloud Pipelines & Secured SDLC

Stellarus; California (MO); On-site; USD 102,740 - 154,220; Full time

Job summary

Stellarus is seeking a Senior Data Engineer to design, build, and operate complex data pipelines and cloud data solutions within a healthcare-focused enterprise. You will lead development from development through production, embedding security and automation across the SDLC while promoting reliability and best practices.

The role requires strong SQL skills, extensive cloud experience (Azure preferred), and hands-on work with dbt, Snowflake, Databricks, Airflow, and Tidal.

Qualifications

• Requires a bachelor’s degree or equivalent experience.
• Minimum of 5 years of relevant data engineering experience.
• Strong hands-on experience with SQL, including scripting and automation.
• Expertise with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory.
• Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal.
• Solid knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality.
• Experience implementing CI/CD pipelines (e.g., Bitbucket, GitHub).
• Strong understanding of agile delivery methodologies and enterprise cloud integration.
• Excellent communication skills with the ability to translate technical solutions to non-technical stakeholders.
• Experience in healthcare or regulated environments, including Epic ecosystem exposure in preferred.
• Awareness of data governance, security standards, and production certification processes.

Responsibilities

• Design, build, and maintain complex, data pipelines from development through production for multiple use cases.
• Develop efficient, scalable, and cost-effective implementations, leveraging reusable frameworks and patterns.
• Integrate security, automation, and quality controls throughout the SDLC using DevSecOps best practices.
• Drive operational excellence, including incident management, root cause analysis, and deployment stability.
• Leverage AI-assisted approaches across development, testing, and deployment to reduce operational overhead and improve quality.
• Monitor and manage software configuration changes to proactively address data reliability and customer experience issues.
• Coordinate sustaining support for multiple data platforms or business processes within a cloud environment.
• Perform monitoring, tuning, and optimization of data pipelines to ensure performance, availability, and efficient resource utilization.
• Implement and maintain automated testing, validation, and monitoring frameworks for data workflows.
• Work within an agile / DevSecOps pod model alongside solution leads, data modelers, analysts, and business partners.
• Provide technical expertise to translate complex functional requirements into robust technical designs.
• Mentor and support Data Engineers through code reviews, knowledge sharing, and engineering guidance.
• Apply domain knowledge of healthcare and enterprise IT trends to inform solution delivery.

Skills

SQL scripting

Azure cloud

CI/CD

Agile delivery

Healthcare knowledge

Education

Bachelor's degree or equivalent

Tools

dbt

Snowflake

Databricks

Airflow

Tidal

Job description

Stellarus is seeking a Senior Data Engineer to design, build, and operate complex data pipelines and cloud data solutions within a healthcare-focused enterprise. You will lead development from development through production, embedding security and automation across the SDLC while promoting reliability and best practices.

The role requires strong SQL skills, extensive cloud experience (Azure preferred), and hands-on work with dbt, Snowflake, Databricks, Airflow, and Tidal.