Senior Analytics Engineer - Remote Data Lakehouse Expert

Arcadia

United States

Remote

USD 131,000 - 235,000

Full time

14 days+

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Benefits offered by this job

Remote first
Flexible PTO
17 annual holidays
Sick leave
Bereavement leave
Volunteer days off
Professional development days off
Parental leave
Cost coverage for medical/dental/vison

Job summary

Arcadia is seeking a Senior Analytics Engineer to create clean, curated data sets and analytics pipelines in a Snowflake-based lakehouse. You will lead data modeling efforts, collaborate with engineers and product managers, and drive data-driven decision making across the business.

You’ll work primarily with SQL and dbt Core, leveraging Argo or Prefect for orchestration. Remote-friendly role for US-based candidates, with strong preference for major cities in the US.

Qualifications

  • 4+ years as an Analytics Engineer or equivalent role; experience with dbt is strongly preferred.
  • 6+ years in the data space (data engineering, data science, analytics, or similar).
  • Expert-level understanding of conceptual data modeling and data mart design.
  • Strong knowledge of SQL and Python; data structures and database design.

Responsibilities

  • Transform, test, deploy, and document data for analysis.
  • Collaborate with engineers, PMs, and stakeholders to design data structures.
  • Build robust, scalable ELT pipelines with data engineers.

Skills

dbt
SQL
Python
Snowflake
Data modeling
Data pipelines
Mentorship
Communication
Scheduling flexibility
Problem solving

Education

Graduate degree in math/statistics/engineering/CS

Tools

dbt Core
Argo
Prefect

Job description

Arcadia is seeking a Senior Analytics Engineer to create clean, curated data sets and analytics pipelines in a Snowflake-based lakehouse. You will lead data modeling efforts, collaborate with engineers and product managers, and drive data-driven decision making across the business.

You’ll work primarily with SQL and dbt Core, leveraging Argo or Prefect for orchestration. Remote-friendly role for US-based candidates, with strong preference for major cities in the US.

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