Senior Data Engineer

Akkodis is seeking a Senior Data Engineer for a Fulltime Remote position.

Salary Range: $140K to $150K/ Year(The salary may be negotiable based on experience, education, geographic location, and other factors)

Location:
Remote

This position is ideal for an engineer who brings strong data modeling fundamentals, practical experience with modern transformation tooling, and a desire to build high‑quality, reusable data assets for analytics, operations, and AI-driven product features.

• Build and maintain dbt models across bronze/silver/gold layers following medallion architecture best practices.
• Design and maintain star schemas
  , fact tables, and dimension models—including Slowly Changing Dimensions (SCDs).
• Develop, optimize, and operationalize Snowflake pipelines with a focus on performance, cost efficiency, and reliability.
• Implement and maintain CI/CD workflows for data transformations, testing, and deployments.

• Practical hands‑on experience designing schemas, stages, tables, streams, and tasks.
• Strong understanding of warehouse sizing, micro-partitioning, performance tuning, and cost-control practices.

• Expertise in developing models, macros, tests, selectors, and documentation.
• Familiarity with structuring dbt projects for maintainability across multiple layers.

• Strong command of star schema and dimensional modeling techniques.
• Experience implementing SCDs (Types 1 &
  2).

• Hands‑on experience building bronze/silver/gold layers with clear logical boundaries.

• 401K
• PTO/Paid Holidays

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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers