Senior Analytics Engineer: Data Modeling & Quality Lead

Arcadia

United States

Remote

USD 160,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Flexible remote work environment
Exposure to senior leaders
Cutting-edge AI tools usage

Job summary

Arcadia is looking for a Lead Analytics Engineer to manage data quality and analytical modeling. You will transform raw data into trusted datasets while ensuring high standards for data quality. Responsibilities include authoring DBT models and optimizing SQL performance. This role requires strong analytical judgment and a passion for using AI tools in an operational setting.

The position offers a fully remote work environment, a salary of $160,000 - $185,000, and opportunities to impact healthcare data operations positively.

Qualifications

  • Advanced SQL skills including window functions and performance tuning.
  • Hands-on experience with DBT models and documentation.
  • Working knowledge of healthcare claims and clinical data.
  • Ability to design systematic validation checks.

Responsibilities

  • Own SQL and DBT layer for data quality and modeling.
  • Troubleshoot issues, optimize SQL performance, and write tests.
  • Lead data quality reviews and triage issues.

Skills

Clear communicator
Strong analytical judgment
Ability to manage several projects
Genuine desire to learn AI tools

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

DBT
SQL
Amazon Redshift
Apache Hudi
Airflow

Job description

Arcadia is looking for a Lead Analytics Engineer to manage data quality and analytical modeling. You will transform raw data into trusted datasets while ensuring high standards for data quality. Responsibilities include authoring DBT models and optimizing SQL performance. This role requires strong analytical judgment and a passion for using AI tools in an operational setting.

The position offers a fully remote work environment, a salary of $160,000 - $185,000, and opportunities to impact healthcare data operations positively.

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