Senior Data Engineer

Senior Data Modeler / Analytics Engineer – Phoenix, AZ

We’re hiring a Senior Data Modeler / Analytics Engineer to help lead a greenfield data transformation within a large, modern data organization. This is a high-impact, highly visible role focused on building enterprise-grade data models that power analytics, BI, and decision-making across the business.

You’ll sit at the intersection of data modeling, data engineering, and business partnership
, helping define standards from scratch while working hands‑on with cloud‑native platforms.

$/yr - $/yr

• Lead enterprise‑grade data modeling across analytics and data platform teams, with a primary focus on analytical, semantic, and kinetic models
• Design and maintain conceptual, logical, and physical data models that accurately represent complex business domains
• Build time‑variant and change‑aware models (e.g., SCD patterns) that support historical analysis and evolving business questions
• Define and implement modeling standards, naming conventions, and governance in a greenfield environment
• Partner with data engineers to architect and implement scalable, cloud‑native pipelines aligned to medallion architecture principles
• Support and optimize analytics and BI consumption layers
  , ensuring performance, consistency, and usability
• Serve as a technical advisor across data engineering and analytics teams on modeling best practices
• Mentor and train junior data engineers on modern data modeling techniques and patterns
• Translate technical data structures and tradeoffs into clear guidance for non‑technical stakeholders

• 5–7+ years of hands‑on experience in data modeling, analytics engineering, or data engineering
• Expert‑level proficiency in SQL
  , including complex transformations and time‑based modeling
• Deep experience with conceptual, logical, and physical data modeling methodologies
• Proven experience modeling slowly changing dimensions and longitudinal datasets
• Strong understanding of analytics engineering best practices and semantic layer design
• Hands‑on experience with Snowflake or comparable cloud data warehouses
• Experience working within AWS‑based data platforms
• Practical knowledge of medallion architecture and layered data design
• Experience using dbt for data transformation, testing, and documentation
• Familiarity with data modeling and diagramming tools such as SQL DBM and Lucid

• Python for data engineering or analytical workflows
• Experience with streaming platforms such as Kafka or Kinesis
• Background in reverse engineering legacy data models
  , including Informatica‑based systems
• Exposure to agent‑based or co‑pilot tooling to accelerate development
• Prior experience integrating data models with enterprise BI tools

• Opportunity to define data modeling standards from the ground up in a greenfield environment
• High‑impact role with influence across analytics, data engineering, and platform teams
• Direct collaboration with business and domain experts to shape analytics strategy
• Strong long‑term investment in modern data platforms and cloud technologies

Mid‑Senior level

Full‑time

Environmental Services, Technology, Information and Media, and Engineering Services

• Medical insurance
• Vision insurance