Data Analytics Engineer

NetVRk; New York (NY); On-site; USD 200,000 - 240,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401k

Unlimited flexible time off

Job summary

NetVRk is seeking an experienced Data Engineer for a pivotal role in managing and optimizing company-wide data models in Snowflake. This position will focus on building clean, trustworthy datasets necessary for AI tooling, ensuring all teams can make informed decisions from a unified data source.

Candidates should have over 6 years of experience in data engineering, particularly with SQL and Snowflake, and a strong grasp of data transformation frameworks like dbt. Benefits include competitive salaries, equity options, and exceptional medical coverage.

Qualifications

• 6+ years in data engineering with strong SQL and deep Snowflake expertise.
• Experience designing efficient, scalable analytical data models.
• Proficiency with dbt or comparable transformation frameworks.

Responsibilities

• Build and own the canonical data models in Snowflake.
• Structure datasets for optimal performance of AI tools.
• Own the transformation layer (dbt), with rigorous testing.

Skills

Strong SQL

Snowflake expertise

Data modeling

dbt or comparable frameworks

Data quality instincts

Communication

Job description

The Role

This role sits at the frontier of how AI consumes and acts on internal company data. You will be the data layer for the entire company — a strategic partner to Finance, Marketing, Sales, Product, and Data Science — designing the clean, trusted datasets that power our AI tooling and ensuring every team can make decisions from a single source of truth. You'll explore how technologies like MCP can unlock self-serve AI data access across the org, and ensure that as we adopt new AI capabilities, our data is ready to meet them.

What You'll Do:

• Build and own the canonical data models in Snowflake that serve as Alchemy's company-wide source of truth — clean, queryable, and AI-ready
• Structure datasets so vendor AI tools perform optimally out of the box, with consistent schemas, rich semantics, and well-indexed access patterns
• Explore and prototype MCP integrations that let internal teams query data conversationally
• Eliminate shadow tables and one-off datasets by proactively serving team data needs at the platform level, freeing data science to move faster
• Own the transformation layer (dbt), with rigorous testing and validation so every downstream consumer — human or AI — can trust what they're working with

What We're Looking For:

• 6+ years in data engineering with strong SQL and deep Snowflake expertise
• Experience designing efficient, scalable analytical data models
• Proficiency with dbt or comparable transformation frameworks
• Strong data quality instincts and a track record of building infrastructure that unblocks teams
• Good judgment — you scope well, prioritize ruthlessly, and communicate tradeoffs
• Experience in startups, a plus

Benefits

Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.

Compensation

The base salary range for this position is estimated to be between $200,000 - $240,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.

Location

New York, New York, United States, San Francisco, California, United States candidates are welcome.