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Snowflake Jobs (NOW HIRING)

Purple Drive Technologies

Snowflake Admin

Chicago, IL · On-site

$54.25 - $74.50/hr

Snowflake Platform Engineer(Snowflake Admin + Azure DevOps + Terraform) We are looking for an experienced Snowflake Platform Engineer as part of the Platform Engineering team. The role focuses on ...

Stellar IT Group

Snowflake SME

Saint Louis, MO · On-site

Snowflake SME 100% Remote Contract Role Overview We are seeking a Snowflake Subject Matter Expert (SME) / Architect with proven expertise in data platform architecture, migration, and optimization.

Synch-Solutions

Snowflake Architect

Chicago, IL · On-site +1

Do you have experience in Snowflake? If you answered "yes", this contract Snowflake Architect position is the role for you! Synch-Solutions is looking for a Snowflake Architect contractor who will ...

Purple Drive

Snowflake Admin

Chicago, IL · On-site

$54.25 - $74.50/hr

Snowflake Platform Engineer(Snowflake Admin + Azure DevOps + Terraform) We are looking for an experienced Snowflake Platform Engineer as part of the Platform Engineering team. The role focuses on ...

Judge Group, Inc.

Snowflake Admin

Chicago, IL

$130K - $140K/yr

Snowflake Platform Engineer Chicago, IL Fulltime Snowflake Platform Engineer(Snowflake Admin + Azure DevOps + Terraform) We are looking for an experienced Snowflake Platform Engineer as part of the ...

Saransh Inc

Snowflake Architect

New York, NY · On-site

$69.75 - $89.75/hr

Snowflake Architect Location: New York City, NY (Locals Only - Onsite) Type: Contract Experience Level: 10+ Years Job Summary: We are seeking a highly skilled Snowflake Architect based in New York ...

Purple Drive Technologies

Snowflake Engineer

Dublin, OH · On-site

$110K - $132K/yr

We are seeking a Snowflake Engineer to design, build, and optimize scalable data solutions using the Snowflake Data Cloud . The ideal candidate will have strong expertise in data modeling, ELT/ETL ...

Sarian, Inc.

Snowflake Architect

Scottsdale, AZ · On-site

$64.25 - $82.50/hr

Must Have Technical/Functional Skills The Snowflake Architect will lead the design, development, and maintenance of advanced data infrastructure on the Snowflake platform. This role involves ...

Northeastern University

Snowflake Developer

Boston, MA · On-site

$124K - $149K/yr

About the Opportunity Job Summary The Snowflake Developer is responsible for designing, developing, optimizing, and operationalizing Northeastern University's Snowflake data platform. This role ...

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How much do snowflake jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for snowflake in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

What is a Snowflake job?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position, and why are they important?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

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What cities are hiring for Snowflake jobs? Cities with the most Snowflake job openings:
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Snowflake jobs near you
Infographic showing various Snowflake job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.
Senior Software Engineer - Observe by Snowflake, Streaming Data Products

Senior Software Engineer - Observe by Snowflake, Streaming Data Products

Snowflake

Menlo Park, CA • On-site

$200K - $287K/yr

Full-time

Posted 29 days ago

Job description

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.
Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using open formats like Apache Iceberg - at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause and resolution 10x faster.
Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world's leading data platforms.
We are hiring a Senior Software Engineer on the Observe team at Snowflake to own the streaming data product surface - the tables, views, and materialized views at the core of Observe's architecture. Observe's data lake approach lets customers correlate heterogeneous telemetry - logs, metrics, traces, events - across a unified data model. This role owns that data model: how customers define, shape, and query the semi-structured data that makes cross-signal correlation low-latency and cost-efficient, at petabyte scale, over continuous streaming telemetry.
AS A SENIOR SOFTWARE ENGINEER - STREAMING DATA PRODUCTS AT SNOWFLAKE, YOU WILL:
  • Own the data modeling product surface - the APIs, schemas, and abstractions through which customers create tables, views, and materialized views that unify their telemetry for correlation and querying, designed for high-performance execution at scale
  • Design the right abstractions for how customers create and manage queryable data - from streaming materialized views to reference tables to log-derived metrics - each serving different needs but composing under one coherent, evolvable model
  • Define freshness and staleness semantics that let customers trust their materialized views are current, and design the controls to tune the trade-off between query latency and compute cost
  • Design APIs with strong schema taste: versioning, backwards compatibility, polymorphic data models, and clean contracts between systems
  • Drive requirements and shape the execution engine based on what the product surface needs
  • Layer complexity so an SRE gets a useful table from opinionated defaults in minutes, while a data engineer can express multi-stage pipelines with custom joins, windowing, and time-based aggregations
  • Lead a team technically - setting architectural direction, writing production code, and mentoring engineers
OUR IDEAL SENIOR SOFTWARE ENGINEER - STREAMING DATA PRODUCTS WILL HAVE:
  • 5+ years of software engineering experience with deep expertise in databases, SQL, stream processing, or data pipeline systems
  • Deep knowledge of data processing or streaming internals - late-arriving data, backfill and reprocessing on schema changes, event-time vs. processing-time semantics - with experience building products and applications on top of them
  • Demonstrated experience designing and shipping APIs with strong taste in DB schema design, versioning, and developer ergonomics
  • An architect's mental model - you think in systems, interfaces, contracts, and long-term evolution rather than short-term hacks
  • A strong sense of user empathy and product intuition - you think beyond APIs and care about how customers define and query their data
  • Proficiency in Go or another systems language, with ability to write production-grade distributed systems code
BONUS POINTS FOR THE FOLLOWING:
  • Experience building customer-facing data modeling or pipeline authoring products
  • Hands-on experience with streaming semantics in production: watermarks, windowing, ordering, delivery guarantees, late-arriving data
  • Background in designing or extending query languages, schema DSLs, or transformation DAG semantics
  • Prior work building internal data platforms that turned raw event streams into curated, queryable tables for internal teams
  • Familiarity with Apache Iceberg, open table formats, or data lakehouse architectures
WHY JOIN OUR OBSERVE TEAM AT SNOWFLAKE?
Observe's data modeling surface - how customers go from raw telemetry to structured, queryable, correlated data - has proven successful and is now at an inflection point, growing rapidly in richness and complexity to serve evolving enterprise needs. Your architectural decisions will shape how this surface scales - serving thousands of teams, supporting new abstraction types, and maintaining coherence as the platform matures. And you'll do it backed by Snowflake's query engine and data platform, with the ownership culture and shipping velocity of a small focused team.
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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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