Middle Data Analytics Engineer

Nix; Boston (MA); Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Flexible working format

Competitive salary

Personalized career growth

Mentorship program & tech talks

Education reimbursement

Team events

Job summary

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

You will work with BD, data experts, and engineering teams to map requirements, optimize SQL, and develop scalable DBT models on Snowflake.

Qualifications

• Strong SQL with query optimization and Snowflake experience.
• DBT experience preferred.
• Excellent communication skills.
• 3-5 years of analytics/data engineering experience.
• Perform code reviews and collaborate to optimize the ecosystem.

Responsibilities

• Work with the BD, content experts, data science, and engineering teams to understand customer requirements and metadata.
• Map customer requirements to existing metadata and apply data modelling to maximize reusability and scalability.
• Build DBT models that can query up to 1B rows efficiently.
• Refine DBT models based on visual QA for accurate datasets at scale.
• Propose and implement automated solutions that streamline curation and increase scalability.
• Serve as engineering point of contact, coordinating with BD to ensure timelines and requirements are met.
• Assist expansion of data curation workflow to accommodate data science approaches within DBT, and enhance testing.

Skills

SQL

Analytics

Data engineering

Communication

Tools

DBT

Snowflake

BigQuery

Python

ClickHouse

Job description

We are looking for a Middle Data Analytics Engineer to build reusable, production-grade pipelines that power our data deals, which are large-scale curated training sets for leading AI labs. You'll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies.

Responsibilities:

• Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata.
• Map customer requirements to our existing metadata and apply data modelling practices to maximize reusability and scalability
• Build DBT models that are 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 that streamline the curation process and increase scalability.
• Serve as the engineering point of contact, partnering with Business Development to ensure accurate timelines, clear requirements, and manage all technical implementation pieces of the workflow
• Assist the expansion of the data curation workflow to accommodate data science approaches within DBT, streamline the review process to ensure a more rigorous statistical approach with more comprehensive testing

Requirements:

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

Nice to have:

• BigQuery.
• Python.
• ClickHouse.
• Experience delivering projects in an operational environment.
• Interest in data science to aid the understanding of customer use cases.
• Interest in photography, music and video creation.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers