Remote Analytics Engineer: Build Scalable Data Models

BairesDev; United States; Remote; CLP 87,891,000 - 126,953,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Hardware provided

Flexible hours

Paid parental leaves and vacations

Multicultural global team

Mentorship and growth opportunities

Job summary

BairesDev is seeking an Analytics Engineer to bridge data engineering and analytics by building clean, tested, and documented data models. You will ensure analysts and data scientists have access to reliable, self-service data structures that drive informed decisions.

The role is 100% remote, with competitive compensation in USD or local currency, and a supportive, multicultural environment that encourages mentorship, growth, and flexible hours.

Qualifications

• 4+ years of experience in Analytics Engineering or related field.
• Proven data modeling skills with clean, tested data models.
• Proficiency in SQL and experience with Snowflake or BigQuery.
• Hands-on dbt experience to transform data and bridge engineering and analytics.
• Advanced English proficiency.

Responsibilities

• Design and implement robust data models using dbt to transform raw data into insights.
• Write and optimize complex SQL queries for high-performance processing in Snowflake or BigQuery.
• Apply software engineering practices to data transformation, including version control, testing, and documentation.
• Collaborate with data engineers to streamline ingestion and with analysts to define key metrics and dimensions.
• Maintain and improve the data warehouse architecture for scalable reporting and analytics.

Skills

Data modeling

SQL

dbt usage

English

Tools

dbt

Snowflake

BigQuery

Job description

BairesDev is seeking an Analytics Engineer to bridge data engineering and analytics by building clean, tested, and documented data models. You will ensure analysts and data scientists have access to reliable, self-service data structures that drive informed decisions.

The role is 100% remote, with competitive compensation in USD or local currency, and a supportive, multicultural environment that encourages mentorship, growth, and flexible hours.