Snowflake Data Engineer Jobs

US data engineer openings whose parsed job description names Snowflake as the warehouse layer. About 950 active listings, weighted toward mid-market and well-funded growth-stage companies where Snowflake's per-second billing model and zero-copy clone features made it the default choice after 2019. Listings often pair Snowflake with dbt and Airflow as the modern data stack triple.

Snowflake Data Engineer Jobs

US data engineer listings that name Snowflake in the posting, scored against your profile with salary and layoff signals.

Frequently asked questions

How many Snowflake data engineer jobs are listed at once?

Around 950 active listings name Snowflake in the parsed JD. Snowflake is the modal warehouse layer in the catalog after the post-2019 wave of mid-market adoption. Many listings pair Snowflake with dbt (about 390 listings tag both).

Do Snowflake data engineer interviews test the Snowflake dialect specifically?

Partially. Most SQL rounds test pattern recognition (top-N per group, dedup, sessionization) on a dialect-agnostic schema. Snowflake-specific touches that come up at on-sites: QUALIFY clauses, the FLATTEN function for semi-structured data, time-travel queries with AT/BEFORE, and warehouse-size selection for cost optimization. Practice these before a Snowflake-heavy on-site.

What's the typical Snowflake stack for the data engineer jobs in this catalog?

S3 or GCS or ADLS for landing storage. Fivetran, Airbyte, or custom ingest into Snowflake's RAW schema. dbt for SQL transformation (about 40 percent of Snowflake-tagged listings also tag dbt). Airflow or Dagster for orchestration. Looker, Tableau, or Mode for BI. Snowpark for the small but growing slice of Python-native processing inside the warehouse.

Is the SnowPro certification useful for these Snowflake data engineer roles?

Helpful for ATS keyword screens, especially the SnowPro Advanced Data Engineer cert that landed in 2023. Hands-on interviews still privilege experience over the cert: a portfolio project that loads CSVs from S3 into Snowflake's RAW schema, transforms with dbt models against staging and marts, and orchestrates with Airflow shows the full surface area the cert tests in isolation.

How does dbt fit into Snowflake data engineer roles?

Tightly. About 40 percent of the Snowflake-tagged catalog also tags dbt as required or preferred. The combination drives most of the modern-data-stack postings. dbt experience is often listed under 'preferred' rather than 'required', but a candidate without it competes with a deep talent pool that has shipped dbt models in production.

How do Snowflake data engineer salaries compare to other tool tags?

Slightly above the catalog median, reflecting the well-funded mid-market and growth-stage companies that drove Snowflake adoption. Senior Snowflake DE roles at growth-stage startups typically cluster in the $190K to $260K base range, with equity adding 30 to 80 percent on top depending on stage.

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