OneMain Financial Jobs

Senior Data Engineer - Data Platform and Semantic Architecture and Engineering

Hybrid (In office 3 days/week) within Oregon, Washington, Idaho, or Utah

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.

Who We Are Looking For:

Every day, Cambia's Data & Analytics Engineering team is living our mission to make health care easier and lives better.

The Data & Analytics Engineering team is seeking a senior technical leader with deep expertise in dimensional modeling, semantic layer engineering, and analytics enablement, combined with a strong ability to influence architecture, mentor senior engineers, and partner with product, architecture, and business leaders. This leader thrives in ambiguous problem spaces, sets direction where none exists, and makes long-term platform decisions that balance scalability, governance, and usability.

Experience designing and implementing semantic layers is critical. If you have hands-on experience with tools such as Snowflake semantic views, AtScale semantics, dbt semantics, Microstrategy Archtect / Semantic Graph, or Business Objects Universes, and thrive on variety and challenge in your work, we encourage you to apply.

If you're a motivated and experienced Senior Data Engineer with a consultant's mindset and a passion for building semantic layers and analytics platforms, we want to hear from you.

What You Bring to Cambia:

Preferred Key Experience:

Experienced technical leader with deep expertise in dimensional modeling, semantic layer design, and analytics enablement, a strong background in building and optimizing data pipelines, excellent SQL skills, and hands-on expertise with Snowflake, dbt or other ETL tools, and modern ETL/ELT practices. Adept at breaking down work, leading and mentoring Data Engineers, and delivering scalable, high-quality data solutions in complex enterprise environments.

Experience developing, implementing, refining, and troubleshooting semantic layers. Hands-on experience with at least one enterprise semantic technology (e.g., Snowflake semantic views, AtScale, dbt semantics, MicroStrategy, Business Objects).

We strongly prefer candidates with a broad range of experience-such as that gained through consulting roles or cross-functional project work-who can bring fresh perspectives and innovative solutions to our data ecosystem.

Qualifications and Certifications:

• Bachelor's degree in computer science, Mathematics, Business Administration, Engineering, or a related field
• 8 years relevant experience in a multi-platform environment, including, but not limited to application development or database development
• At least 2 years working with Snowflake or similar cloud data platforms
• Equivalent combination of education and experience

Skills and Attributes (Not limited to):

Required Experience

• Senior or principal-level experience in Data Engineering or Data Platform Engineering.
• Deep expertise in dimensional modeling, semantic layer design, and analytics enablement.
• Advanced proficiency with Snowflake, dbt, and SQL, including performance tuning at scale.
• Hands-on experience with at least one enterprise semantic technology (e.g., Snowflake semantic views, AtScale semantics, dbt semantics, MicroStrategy Architect / Semantic Graph, Business Objects Universes.

Leadership & Influence

• Proven ability to lead through influence across teams and disciplines.
• Strong men toring and coaching skills, particularly with senior engineers.
• Demonstrated success driving standards, patterns, and long-term platform strategy.

Preferred Experience

• Consulting or cross-industry background bringing diverse perspectives to complex data ecosystems.
• Experience supporting AI-enabled analytics, agentic workflows, or metadata-driven systems.
• Python de elopment for data engineering, automation, or platform tooling.
• Experience integrating semantic layers with BI tools such as Tableau, Power BI, or Looker.

What You Will Do at Cambia (Not limited to):

Enterprise Technical Leadership

• Together with Engineering and Data Modeling leaders, define and evolve enterprise standards for dimensional modeling, semantic layers, and analytics-ready data platforms.
• Serve as a design authority for complex operational, analytic, data pipeline, and semantic architectures, reviewing and approving high-impact solutions
• Guide engineers on technical solutions and techniques to optimize compute and storage cost.

Data Platform & Pipeline Excellence

• Oversee design and optimization of scalable ELT/ETL pipelines and data products, with a focus on reliability, performance, and cost efficiency.
• Drive platform observability, proactive data quality monitoring, and automated validation frameworks.
• Lead performance tuning efforts for Snowflake tables, views, materialized views, and semantic access patterns.

Semantic & Dimensional Model Engineering

• Guide the design and implementation of enterprise semantic models on Snowflake, including facts, dimensions, metrics, and governed business logic.
• Collaborate with the Data Product and Data Modeling teams to establish patterns for metric definitions, conformed dimensions, and reusable semantic assets.
• Partner with Enterprise and Domain Architects to ensure semantic consistency, interoperability, and scalability
• Ensure semantic layers are optimized for BI tools, self-service analytics, and agentic/AI consumption.

Agentic Intelligence Enablement

• Enable trusted data foundations for agent-based analytics and AI assistants, ensuring semantic models are consumable by LLMs and analytic agents.
• Collaborate with platform and AI teams to define contracts, metadata, and observability required for intelligent agents.
• Influence responsible AI usage by embedding governance, lineage, and explainability into semantic designs.

Quality, Governance & Compliance

• Champion data governance, security, and compliance across operational, analytical, semantic, and agentic platforms.
• Ensure solutions meet healthcare and regulated-industry expectations for auditability and reliability.

The expected hiring range for The Senior Data Engineer - Data Platform and Semantic Architecture and Engineering is $114k-$135k/year depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for Semantic Data Engineer is 15%. The current full salary range for the Senior Data Engineer position is $114K - $186k/year.

#LI-Hybrid

About Cambia

Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through.

Why Join the Cambia Team?

At Cambia, you can:

• Work alongside diverse teams building cutting-edge solutions to transform health care.
• Earn a competitive salary and enjoy generous benefits while doing work that changes lives.
• Grow your career with a company committed to helping you succeed.
• Give back to your community by participating in Cambia-supported outreach programs.
• Connect with colleagues who share similar interests and backgrounds through our employee resource groups.

We believe a career at Cambia is more than just a paycheck - and your compensation should be too. Our compensation package includes competitive base pay as well