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Data Engineer

Pay
Pay not listed
Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Data Analytics and AI — team source
Department: Data Analytics and AI
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you require company sponsorship now or in the future to maintain or extend your current work authorization status? This includes, but is not limited to, initial work permits (e.g., H-1B in the US, Highly Skilled Migrant in the Netherlands, or Blue Card in Poland/Germany, etc.) and any necessary change in current sponsorship.
From the employer’s application form

What you’ll work on

Full posting
  • Build and maintain production data pipelines and models on Snowflake

  • Develop dbt models with tests and documentation

  • Build and support Apache Airflow DAGs for Snowflake workloads

  • Ingest enterprise data using Snowpipe, Snowpark, and dynamic tables

  • Apply data quality checks and help monitor warehouse cost and performance

From the employer’s posting
Build and maintain production data pipelines and models on Snowflake, from ingestion through transformation and consumption
Develop dbt models with tests and documentation that follow team standards and governance practices
Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably
Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables
Apply data quality checks and help monitor Snowflake warehouse cost and performance
Education & alternatives
OUR IDEAL DATA ENGINEER WILL HAVE: - Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience - 3+ years of hands-on experience building data pipelines or data models in a production environment
Apply at Snowflake

Posting record

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Status in our records
Live
First seen by us
Oct 28, 202617 days ago
Recorded sightings
19
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 17

Similar jobs usually come down between day 6 and day 56.

At Snowflake, jobs usually come down by about day 36.

From 13,743 similar postings that came down, and 31 of Snowflake’s. Coming down is not always a hire.

Snowflake is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • dbt
  • GCP
  • Kafka
  • Snowflake
  • Airflow
Where the posting names them
- 3+ years of hands-on experience building data pipelines or data models in a production environment - Strong SQL and working Python skills, including basic query tuning and schema design - Hands-on experience with a cloud data warehouse, ideally Snowflake
- Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming - Experience with AWS, Azure, or GCP, including infrastructure-as-code - Awareness of data contracts or schema registry tooling
- Build and maintain production data pipelines and models on Snowflake, from ingestion through transformation and consumption - Develop dbt models with tests and documentation that follow team standards and governance practices - Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably
- Hands-on experience with a cloud data warehouse, ideally Snowflake - Working knowledge of dbt and an orchestration tool such as Apache Airflow - Understanding of dimensional modelling concepts
- Experience preparing data for ML model training or feature engineering - Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming - Experience with AWS, Azure, or GCP, including infrastructure-as-code
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are looking for a Data Engineer to help build and operate the data pipelines and models that power internal decision-making on the Snowflake AI Data Cloud. You will work alongside senior engineers, learn our platform from the inside as customer zero, and grow your ownership of production data products over time.
Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are looking for a Data Engineer to help build and operate the data pipelines and models that power internal decision-making on the Snowflake AI Data Cloud. You will work alongside senior engineers, learn our platform from the inside as customer zero, and grow your ownership of production data products over time. AS A DATA ENGINEER AT SNOWFLAKE, YOU WILL:
We are looking for a Data Engineer to help build and operate the data pipelines and models that power internal decision-making on the Snowflake AI Data Cloud. You will work alongside senior engineers, learn our platform from the inside as customer zero, and grow your ownership of production data products over time. AS A DATA ENGINEER AT SNOWFLAKE, YOU WILL: - Build and maintain production data pipelines and models on Snowflake, from ingestion through transformation and consumption
AS A DATA ENGINEER AT SNOWFLAKE, YOU WILL: - Build and maintain production data pipelines and models on Snowflake, from ingestion through transformation and consumption - Develop dbt models with tests and documentation that follow team standards and governance practices
- Develop dbt models with tests and documentation that follow team standards and governance practices - Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably - Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables
- Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables - Apply data quality checks and help monitor Snowflake warehouse cost and performance - Act as an internal customer zero, sharing feedback on Snowflake features with Product teams
- Apply data quality checks and help monitor Snowflake warehouse cost and performance - Act as an internal customer zero, sharing feedback on Snowflake features with Product teams - Take part in Agile ceremonies including stand ups, sprint planning, reviews, and retrospectives
- Strong SQL and working Python skills, including basic query tuning and schema design - Hands-on experience with a cloud data warehouse, ideally Snowflake - Working knowledge of dbt and an orchestration tool such as Apache Airflow
BONUS POINTS FOR THE FOLLOWING: - Exposure to Snowflake Cortex AI functions or other LLM APIs for data enrichment - Experience preparing data for ML model training or feature engineering
- Awareness of data contracts or schema registry tooling Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?
How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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About Snowflake

People
About 9,060 in 2026, up 16% from the year before.Annual report (SEC Form 10-K)
Company
Listed as SNOW.
H-1B visas
202 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.

We are looking for a Data Engineer to help build and operate the data pipelines and models that power internal decision-making on the Snowflake AI Data Cloud. You will work alongside senior engineers, learn our platform from the inside as customer zero, and grow your ownership of production data products over time.

AS A DATA ENGINEER AT SNOWFLAKE, YOU WILL:

  • Build and maintain production data pipelines and models on Snowflake, from ingestion through transformation and consumption

  • Develop dbt models with tests and documentation that follow team standards and governance practices

  • Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably

  • Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables

  • Apply data quality checks and help monitor Snowflake warehouse cost and performance

  • Act as an internal customer zero, sharing feedback on Snowflake features with Product teams

  • Take part in Agile ceremonies including stand ups, sprint planning, reviews, and retrospectives

  • Partner with stakeholders and senior engineers to turn well-defined requirements into scoped technical tasks

OUR IDEAL DATA ENGINEER WILL HAVE:

  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

  • 3+ years of hands-on experience building data pipelines or data models in a production environment

  • Strong SQL and working Python skills, including basic query tuning and schema design

  • Hands-on experience with a cloud data warehouse, ideally Snowflake

  • Working knowledge of dbt and an orchestration tool such as Apache Airflow

  • Understanding of dimensional modelling concepts

  • Clear written and verbal communication and a collaborative, curious approach to learning

  • Ownership mindset: you follow problems through to resolution and ask for help when needed

BONUS POINTS FOR THE FOLLOWING:

  • Exposure to Snowflake Cortex AI functions or other LLM APIs for data enrichment

  • Experience preparing data for ML model training or feature engineering

  • Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming

  • Experience with AWS, Azure, or GCP, including infrastructure-as-code

  • Awareness of data contracts or schema registry tooling

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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Pune, India

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