Senior Data Platform Engineer / SDE

Cambia Health Solutions; Boise (ID); Hybrid; USD 114,000 - 186,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Health savings account

Generous paid time off

401(k) with company match

Parental leave

Job summary

Cambia Health Solutions in Boise is seeking a Senior Data Platform Engineer to lead a team that builds scalable Snowflake ELT pipelines, data models, and platform artifacts powering analytics and reporting.

The role combines hands-on engineering with technical leadership, mentoring engineers, setting engineering standards, and shaping the data platform strategy for enterprise needs, with a hybrid schedule (3 days in office).

Qualifications

• 6+ years of data engineering or data platform experience.
• Strong SQL, Snowflake, and dbt experience.
• Experience with ELT/ETL design patterns and orchestration (Airflow or similar).
• Ability to mentor and influence engineering decisions at scale.

Responsibilities

• Lead and mentor Data Engineers; establish engineering standards and best practices.
• Design, build, tune, and own scalable Snowflake ELT pipelines and data models.
• Optimize performance, sizing, and cost management of data platforms.
• Partner with analytics, product, governance, QA, and business teams to deliver high-quality data solutions.

Skills

Snowflake

SQL

SQL/Python

Data modeling

ELT/ETL design

Airflow

DataOps/CI/CD

Mentoring

Leadership

Communication

Education

Bachelor's degree in Computer Science, Mathematics, or related field

Tools

Airflow

dbt

Snowflake

Job description

Senior Data Platform Engineer / SDE – Hybrid (3 days/week in office)

Location: Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargo. Candidates must reside within commutable distance of that location or be willing to relocate.

Role Overview

Every day, Cambia’s Data & Analytics Engineering Team lives our mission to make health care easier and lives better. As a Senior Data Engineer, you will serve as the technical lead for a team of Data Engineers. You will design, build, optimize, and own scalable enterprise data pipelines and platform capabilities in Snowflake that power conventional and agentic analytics, purpose‑built data products, and operational reporting. You will mentor engineers, drive technical standards, and contribute to platform strategy, positioning yourself for growth into Principal‑level engineering and architecture roles or people leadership. Your deep hands‑on expertise, a consulting‑oriented mindset, and proven ability to deliver measurable impact in complex environments will make an excellent fit for this role with clear growth opportunities.

Preferred Key Experience

• Experienced technical lead with a strong background in building and optimizing data pipelines, excellent SQL skills, and hands‑on expertise with Snowflake, dbt, and modern ELT practices.
• Adept at breaking down work, mentoring Data Engineers, and delivering scalable, high‑quality data solutions in complex enterprise environments.

Qualifications and Certifications

The Senior Data Platform Engineer would have at least 6+ years of relevant experience in Data Engineering or Data Platform Engineering, with senior or lead experience. A college degree in Computer Sciences, Mathematics, Business Administration, or related fields is required, or equivalent experience in the healthcare industry. Experience with a business area that is supported by this position is preferred (Provider Network and Contract Management, Digital Solutions, Pricing, Membership, Claims, etc.).

Skills and Attributes (Not limited to)

• Deep expertise with Snowflake (strongly preferred), SQL and SQL/Python stored procedures.
• Experience with dbt or other ETL tools, ELT/ETL design patterns, and orchestration (Airflow or similar).
• Strong data modeling (dimensional, normalized, and denormalized), pipeline design, performance optimization, and integration/migration expertise.
• Data profiling: identification of unique and primary keys, cardinality, data type, precision, scale, and skew.
• Experience with DataOps, CI/CD, semantic layers, metadata management, observability, streaming, and AI/agentic enablement.
• Understanding of data governance, security, compliance, and enterprise platform ownership.
• Excellent communication and collaboration across teams (Product, QA, Analytics, Business).
• Ability to mentor, establish best practices, and influence technical decisions with proactive problem‑solving and innovation.
• Ability to think big, envision the work from the entire scope, and work down into the details.

Nice to Have

• Experience in healthcare or complex enterprise data environments.
• DevOps/DataOps proficiency.
• Exposure to budgeting/cost management and cross‑team initiatives.

Responsibilities

• Lead and mentor Data Engineers; drive engineering standards and best practices.
• Independently design, build, tune, and own scalable Snowflake ELT pipelines, data models (with the Modeling team), and platform artifacts supporting analytics/operational workloads.
• Optimize performance (query tuning, compute sizing, workload isolation, cost management).
• Partner with analytics, product, governance, QA, and business teams to deliver high‑quality, observable data solutions.
• Contribute to platform strategy, risk assessments, and adoption of modern practices (DataOps, CI/CD, AI tools).
• Ensure data quality, testing, documentation, and knowledge sharing.
• Demonstrate technical leadership by breaking down complex work and delivering value in squad/model environments.

Pay Range

• Oregon, Washington, Utah, and Idaho: $114,000 – $143,000 (full salary range $114,000 – $186,000, bonus target 20%).
• North Dakota: $101,000 – $134,000 (full salary range $101,000 – $167,000).

Benefits

• 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 varying by role and tenure, and 10 company‑paid holidays.
• Market‑leading retirement plan including company match on employee 401(k) contributions and potential discretionary contribution.
• Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service).
• Employee Assistance Fund and wellness programs.
• Commute and parking benefits.

Technical Requirements

• Reliable wired internet connection (minimum upload 5Mb, download 10Mb). No satellite or cellular connections.
• New hires must have a personal mobile device to set up Multi‑Factor Authentication upon joining the company.

Equal Opportunity Employer

We are an Equal Opportunity employer dedicated to a drug and tobacco‑free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required. If you need accommodation for any part of the application process because of a medical condition or disability, please email [e-mail].