Senior Data Engineer: Cloud Pipelines & Data Solutions

Stellarus; California (MO); Hybrid; USD 123,000 - 208,000; Full time

Job summary

Stellarus is seeking a Data Engineer, Consultant to lead end‑to‑end data engineering solutions across cloud platforms. You will partner with design leads, architects, product managers, and business stakeholders to translate designs into scalable, secure data products.

The role emphasizes technical leadership, data modeling, quality, security, and DevSecOps practices in a collaborative, agile environment with healthcare focus and customer impact.

Qualifications

• Requires a bachelor’s degree or equivalent experience.
• Requires a minimum of 7 years of data engineering experience.
• Advanced hands‑on expertise in SQL, including automation and pipeline optimization
• Strong experience with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory
• Extensive experience with modern data platforms including Snowflake, Databricks, and orchestration tools such as Airflow or Tidal
• Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing
• Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices
• Strong understanding of security, privacy, and compliance requirements in regulated environments
• Experience working with largescale, distributed data platforms and parallel processing architecture
• Excellent communication and stakeholder engagement skills
• Proven ability to lead technically without formal people management responsibility
• Preferred: Healthcare industry experience, including exposure to Epic or similar ecosystems

Responsibilities

• Lead the design and implementation of complex, data pipelines and data products from development through production
• Translate solution designs and business requirements into detailed technical architecture and implementation plans
• Architect and build scalable, secure, and highly available data solutions across enterprise data platforms
• Apply advanced data modeling techniques to support analytics and reporting needs
• Embed data quality, testing, security, and observability by design across data pipelines
• Drive operational excellence, including incident analysis, stabilization, performance tuning, and deployment optimization
• Identify and implement optimization opportunities related to performance, reliability, and cloud cost management
• Influence and evolve data engineering standards, patterns, and frameworks used by delivery teams
• Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through design reviews and code reviews
• Work within an agile / DevSecOps pod model, collaborating closely with solution leads, data modelers, analysts, and business partners
• Support integration of AI/ML‑ready datasets by ensuring data is well‑modeled, reliable, and governed
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders

Skills

SQL

Azure

Data modeling

Snowflake

Databricks

Airflow

CI/CD

DataOps

Security & compliance

Stakeholder communication

Education

Bachelor's degree or equivalent experience

Tools

ADLS

Synapse

Data Factory

Airflow

Tidal

Snowflake

Databricks

Job description

Stellarus is seeking a Data Engineer, Consultant to lead end‑to‑end data engineering solutions across cloud platforms. You will partner with design leads, architects, product managers, and business stakeholders to translate designs into scalable, secure data products.

The role emphasizes technical leadership, data modeling, quality, security, and DevSecOps practices in a collaborative, agile environment with healthcare focus and customer impact.