Senior Data Engineer: Snowflake, dbt & AI-Driven Stack

MoldStud; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

MoldStud is seeking a data engineer to own and enhance an existing but reliable analytics stack. The role centers on keeping pipelines healthy, automating repetitive tasks with AI, and expanding data projects as the product grows.

You will work remotely from Moldova, collaborating in Romanian and English to ensure data accuracy and timely delivery. Responsibilities include managing ingestion from AWS S3 to Snowflake, tuning performance, extending dbt models, owning the Cube semantic layer, and

Qualifications

• 5+ years as a data engineer with production ownership.
• Experience: ingest from AWS S3 to Snowflake and load pipelines.
• Experience with dbt in production, performance, security and cost.
• Fluent English; Romanian language knowledge is a plus.

Responsibilities

• Keep pipelines and analytics stack running and on schedule.
• Identify and fix data quality issues and slow queries early.
• Ingest from AWS S3 into Snowflake with COPY commands and monitoring.
• Tune Snowflake for performance and cost efficiency.
• Maintain and extend dbt models, tests and deployments.
• Own the Cube semantic layer: definitions, versioning, deployments via GitHub.
• Manage Fivetran connectors and Hex integrations; track schedules & changes.
• Act as technical owner of data tools, including API keys and vendor interactions.
• Review Amplitude tracking plans and ensure consistent event landings.
• Build AI agents for monitoring, anomaly detection and schema change analysis.
• Explore and adopt new AI tools to speed up work; document procedures.

Tools

Snowflake

dbt

Fivetran

Cube

Hex

Metabase

Amplitude

AWS S3

Job description

MoldStud is seeking a data engineer to own and enhance an existing but reliable analytics stack. The role centers on keeping pipelines healthy, automating repetitive tasks with AI, and expanding data projects as the product grows.

You will work remotely from Moldova, collaborating in Romanian and English to ensure data accuracy and timely delivery. Responsibilities include managing ingestion from AWS S3 to Snowflake, tuning performance, extending dbt models, owning the Cube semantic layer, and