Analytics Engineer

October 12, 2026

Remote

Senior

Description

The world's largest prediction market platform is hiring a senior Analytics Engineer to own the data foundation for its Customer Experience organization. The role covers designing dbt models, ingesting support data from CRM, KYC, and BPO sources into a cloud warehouse, and building a semantic layer, quality tests, and self-serve dashboards. The engineer partners with the central data engineering team on shared pipelines and governance. Compensation is $200,000 to $250,000 plus equity and benefits.

Responsibilities

Design and maintain dbt data models for support data, covering ticketing, KYC, withdrawals, and market resolution workflows
Integrate data from sources including Decagon, BPO partners, CRM systems, and WFM tools into the cloud warehouse
Build data quality tests, monitoring, and documentation so the team can trust what they're looking at
Define shared metrics and dimensions in the semantic layer so CX, ops, and leadership calculate things the same way
Build dashboards and self-serve datasets that let CX teammates answer operational questions without waiting on a data request
Identify recurring failure patterns in support data and translate them into documented findings for the CX playbook and internal stakeholders
Partner with the central data engineering team on shared pipelines, infrastructure decisions, and data governance

Requirements

5+ years in analytics engineering, data engineering, or a closely related data role
Expert SQL and strong hands-on dbt experience, including modeling, testing, and documentation
Experience working with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
Experience with data ingestion tools such as Fivetran or Airbyte, and working knowledge of Python
Strong data modeling fundamentals and a track record of building systems that non-technical teams actually use
Experience diagnosing complex, multi-variable issues and communicating findings clearly to non-technical stakeholders
Track record of building or improving documentation, whether data documentation, support playbooks, or process guides

Conditions

Competitive salary and equity
Unlimited PTO
Full health, vision, and dental coverage
401k match
Hardware setup: new MacBook Pro, big display, and accessories

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