Remote Data Analytics Engineer - Build Metrics & Pipelines

Remotedxb; Dubai; On-site; AED 330,517 - 550,863; Full time

Benefits offered by this job

Competitive pay with equity options

Stellar health care plan options (Med,

401(k) with 4% matching

Unlimited PTO and generous paid family

$750 work-from-home setup budget

Annual $1,200 learning & development $

Monthly $100 health and wellness

Quarterly $150 co-hanging stipend

Job summary

Turquoise Health is seeking an Analytics Engineer to design and maintain data pipelines, data models, and dashboards that illuminate product adoption and business performance.

You will collaborate with Product, Engineering, and business stakeholders, implement analytics best practices, and help scale analytics infrastructure across the company. Proficiency in Python, SQL, and cloud services is essential.

Qualifications

• Bachelor's degree or equivalent experience.
• 2+ years developing data models, pipelines, and end-to-end analytical solutions in Python and SQL.
• Proficiency with OOP and functional patterns and code organization.
• Experience with dataframe libraries such as pandas or polars.
• Experience with ETL/ELT workflows and orchestration using Airflow or dbt.
• Comfort with cloud services including AWS S3, EC2, and RDS.
• Ability to design scalable, high-performance, and cost-efficient data systems.
• Entrepreneurial mindset and ability to work effectively in a remote collaborative team.

Responsibilities

• Partner cross-functionally with Product, Engineering, and business stakeholders to define metrics, measure outcomes, and evaluate impact.
• Build and maintain data pipelines, data models, dashboards, and analytical infrastructure.
• Conduct analyses to understand product adoption, customer engagement, business performance, and operational efficiency.
• Contribute to the development of analytics best practices, shared datasets, and company-wide metrics.
• Seek and act on feedback from internal stakeholders and iterate quickly.

Skills

Python

SQL

OOP

Pandas/Polars

Airflow/dbt

AWS

Data modeling

Education

Bachelor's degree or equivalent experience

Tools

Airflow

dbt

Pandas

Polars

AWS

Job description

Turquoise Health is seeking an Analytics Engineer to design and maintain data pipelines, data models, and dashboards that illuminate product adoption and business performance.

You will collaborate with Product, Engineering, and business stakeholders, implement analytics best practices, and help scale analytics infrastructure across the company. Proficiency in Python, SQL, and cloud services is essential.