Remote Data Analytics Engineer – DBT & Snowflake

N-iX; United States; Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Flexible working format

Competitive salary

Mentorship program and trainings

Job summary

N-iX is seeking a Middle Data Analytics Engineer to build reusable, production-grade pipelines powering large-scale curated training sets for AI labs. You’ll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies.

Responsibilities include working with BD, data science, and engineering teams; building scalable DBT models on Snowflake; refining models, and automating curation processes while ensuring rigorous testing and on-time

Qualifications

• Strong SQL background with query optimization.
• DBT experience preferred.
• 3-5 years of analytics/data engineering experience.
• Perform code reviews and collaborate with the team to create an optimized ecosystem.

Responsibilities

• Work with the BD team, content experts, data science, and engineering teams to understand customer requirements and available metadata.
• Map customer requirements to existing metadata and apply data modelling practices to maximize reusability and scalability.
• Build DBT models capable of querying up to 1B rows efficiently.
• Refine DBT models based on visual QA to ensure accurate datasets at scale.
• Propose and implement automated solutions to streamline the curation process and increase scalability.
• Serve as the engineering point of contact, partnering with Business Development to ensure accurate timelines and clear requirements.
• Assist the expansion of the data curation workflow to accommodate data science approaches within DBT, with rigorous testing.

Skills

SQL

DBT

Data engineering

Code reviews

Tools

Snowflake

BigQuery

Python

ClickHouse

Job description

N-iX is seeking a Middle Data Analytics Engineer to build reusable, production-grade pipelines powering large-scale curated training sets for AI labs. You’ll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies.

Responsibilities include working with BD, data science, and engineering teams; building scalable DBT models on Snowflake; refining models, and automating curation processes while ensuring rigorous testing and on-time