Senior Data Engineer - Cloud Data Pipelines & DevSecOps

Stellarus; California (MO); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Stellarus is seeking a Senior Data Engineer to design, build, and operate complex data pipelines in a cloud environment, with emphasis on security, automation, and reliability. You will lead by example, mentor engineers, and drive best practices across development teams.

The role collaborates with data modelers, analysts, and business partners in a hybrid work setting, focusing on scalable, production-ready data platforms and healthcare data solutions.

Qualifications

• Requires a bachelor’s degree or equivalent experience.
• Requires a 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 using reusable frameworks.
• Integrate security, automation, and quality controls throughout the SDLC using DevSecOps practices.
• Drive operational excellence including incident management and deployment stability.
• Leverage AI-assisted approaches to reduce operational overhead and improve quality.
• Monitor and manage software configuration changes to address data reliability and customer experience issues.
• Coordinate sustaining support for multiple data platforms in a cloud environment.
• Perform monitoring, tuning, and optimization of data pipelines for performance and availability.
• Implement and maintain automated testing, validation, and monitoring frameworks for data workflows.
• Work within an agile / DevSecOps pod model alongside solution leads and analysts.
• Provide technical expertise to translate complex functional requirements into robust designs.
• Mentor Data Engineers through code reviews and knowledge sharing.
• Apply healthcare and enterprise IT domain knowledge to inform delivery.

Skills

SQL scripting

Azure cloud

dbt

Snowflake

Databricks

Airflow

Data Vault 2.0

CI/CD

Agile

Healthcare data

Epic ecosystem

Education

Bachelor's degree or equivalent

Tools

ADLS

Synapse

Data Factory

dbt

Snowflake

Databricks

Airflow

Job description

Stellarus is seeking a Senior Data Engineer to design, build, and operate complex data pipelines in a cloud environment, with emphasis on security, automation, and reliability. You will lead by example, mentor engineers, and drive best practices across development teams.

The role collaborates with data modelers, analysts, and business partners in a hybrid work setting, focusing on scalable, production-ready data platforms and healthcare data solutions.