Senior Analytics Engineer

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Location: Scottsdale, AZ (4 days/week onsite)

Role Overview:

A major environmental services enterprise is looking to hire a Senior Analytics Engineer to own data modeling standards and enable high‑impact analytics across the business. This is a high‑visibility role for someone who can partner with stakeholders, shape data architecture, and still write production‑quality code.

You will:

• Establish data modeling practices for analytical and operational use cases, including canonical and semantic models and a medallion‑style architecture.
• Lead a greenfield effort to design and implement new modeling standards from scratch.
• Work closely with domain experts and data engineers to translate business needs into scalable models, metrics, and data products.
• Act as the modeling expert and advisor across the broader engineering and analytics teams.

Time breakdown:

• 40% data modeling
• 30% core engineering (SQL/Snowflake/dbt, performance tuning, pipelines)
• 30% stakeholder interaction (requirements, prioritization, communication)

Requirements:

• 5–7 years in analytics or data engineering with expert‑level data modeling experience.
• Deep SQL skills for complex transformations, change tracking, and ensuring clean, well‑structured data.
• Strong experience with Snowflake (priority) and dbt, plus AWS data services.
• Excellent communication skills and ability to explain technical concepts to non‑technical partners and influence architecture decisions.

Nice to have:

• Python for automation and analytics engineering.
• Experience with Kinesis or Kafka.
• Familiarity with Copilot/agent tools for productivity and with SQL DBM and Lucid for schema and documentation.

Associate

Full-time

Engineering and Analyst

Environmental Services and Consumer Services

Referrals increase your chances of interviewing at Harnham by 2x

• Medical insurance
• Vision insurance
• 401(k)