Analytics Engineer (Fully Remote)

Appinio; United States; Remoto; USD 110.000 - 165.000; Tempo pieno

Descrizione del lavoro

Appinio, a global market research company with an AI-powered insights platform, is hiring a data engineer who can design and maintain scalable data models.

You’ll build data pipelines for reliable ingestion, standardize key metrics, and collaborate with analytics, product, and engineering teams to define business KPIs. The role emphasizes SQL, dbt, Python, and data warehousing expertise in a remote-first environment with teams across multiple countries.

Competenze

• Strong SQL and data modeling skills with hands-on dbt experience.
• Proficient in Python for data engineering and pipeline development.
• Understanding of data warehousing and data quality practices.

Mansioni

• Design, build, and maintain scalable data models using SQL and dbt.
• Develop data transformation workflows and troubleshoot pipeline issues.
• Collaborate with analytics, product, and engineering teams to define business metrics.

Conoscenze

SQL

Data modeling

dbt

Python

Data engineering

Strumenti

dbt

Descrizione del lavoro

• Design and maintain scalable data models that make data accessible across the organization.
• Build and optimize data pipelines and integrations for reliable data ingestion.
• Standardize key business metrics and ensure data quality through automated testing.

What you’ll be doing:

• Design, build, and maintain clean data models using SQL and dbt.
• Develop data transformation workflows and troubleshoot pipeline issues.
• Collaborate with analytics, product, and engineering teams to define business metrics.

You will thrive in this role if:

• You have strong SQL and data modeling skills with hands-on dbt experience.
• You are proficient in Python and data engineering for pipeline development.
• You understand data warehousing and quality principles to ensure reliability.

Appinio is a global market research company that combines an AI-powered insights platform with expert consultancy to make the world more fact-based. It has over 260 employees across 13 countries, operates remote-first, and serves 2,600+ clients globally.