Data & Analytics Platform Engineer IV

Cambia Health Solutions

. Own delivery of technical projects and mentor junior Data Engineers .

Posted 10/5/2026full-timeUnited StatesSeniorLead💰 $114,000 - $186,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in Snowflake, SQL, and Python application development, with a strong focus on data engineering best practices, performance optimization, and CI/CD pipeline implementation. Proven ability to mentor junior engineers and drive engineering standards while collaborating across teams to deliver high-quality data solutions.

Highest-signal resume keywords

Snowflake ExpertisePython Application DevelopmentCI/CD Pipeline ImplementationData ModelingData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLETL ToolsData Pipeline DesignPerformance OptimizationStored ProceduresREST API DevelopmentData ProfilingData Privacy SolutionsRBAC SolutionsData Engineering Automation

Soft Skills

Excellent CommunicationCollaboration SkillsMentoring

Tools & Technologies

GitLab CI/CDCircleCIAirflowDockerKubernetesSnowpark Container Services

Industry Keywords

Data Platform EngineeringHealthcare Data ExperienceEnterprise DataData Governance PrinciplesCompliance Principles

Tech Stack

Tools & technologies

AirflowDockerETLKubernetesPythonSQL

About the role

Key responsibilities & impact

Own delivery of technical projects and mentor junior Data Engineers
Drive engineering standards and best practices
Architect, build, tune, and automate scalable Snowflake-based frameworks
Develop data privacy, database object management, pipeline orchestration, environment management, and RBAC solutions
Partner with Data Modeling to design scalable data models and warehouse layers
Optimize Snowflake performance through query tuning, compute sizing, and workload isolation
Partner with analytics, product, data engineering, and business teams
Ensure implementation quality, performant code, thorough testing, documentation, and platform observability
Build and optimize CI/CD Snowflake frameworks, Airflow orchestration libraries, database cloning capabilities, data masking solutions, row-level access policies, and data engineering automation

Requirements

What you’ll need

At least 7–8 years of relevant experience in data platform engineering or data engineering, including senior or lead-level experience
Bachelor’s degree in Computer Science, Mathematics, Business Administration, or a related field; equivalent combination of education and relevant experience may be considered in place of a degree
Deep expertise with Snowflake, SQL, dbt or other ETL tools, and ELT/ETL design patterns
Expert-level knowledge of developing Python applications and Snowflake Streamlit applications
Experience building CI/CD pipelines using GitLab CI/CD, CircleCI, or similar frameworks
Experience developing stored procedures using SQL or Python, preferably in Snowflake
Experience building Python-based applications on Snowpark Container Services
Experience calling and building REST API applications
Familiarity with Airflow, Snowflake Tasks, or similar orchestration tools
Familiarity with Docker, Kubernetes, or similar containerization technologies
Strong data modeling, pipeline design, and performance optimization skills
Experience migrating between platforms and integrating data into target-platform tables
Strong data profiling skills, including identifying keys and determining cardinality, data type, precision, scale, and skew
Understanding of data governance, security, and compliance principles
Excellent communication and collaboration skills
Background in a supported business area preferred
Healthcare or complex enterprise data experience, semantic layers, metadata management, streaming data, and AI pipelines are nice to have
Background check required
Wired internet connection required for work-from-home option; minimum 5Mb upload and 10Mb download speeds
Personal mobile device required for MFA

Benefits

Comp & perks

Competitive base pay
Bonus opportunities; 15% bonus target in Oregon, Washington, Utah, and Idaho
Medical, dental and vision coverage for employees and eligible family members, including mental health benefits
Annual employer contribution to a health savings account
Generous paid time off
10 company-paid holidays
401(k) company match
Potential discretionary retirement contribution based on company performance with no vesting period
Up to 12 weeks of paid parental time off after 12 months of continuous service
Wellness programs that reward participation
Employee Assistance Fund
Commute and parking benefits
Work-from-home options for most roles
Employee resource groups
Community outreach opportunities