Work you'll do As a Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...
Work you'll do As a Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...
Senior Forward Deployed Engineer, Snowflake
Milwaukee, WI · On-site
$103K - $141K/yr
Work you'll do As a Senior Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions.
Senior Forward Deployed Engineer, Snowflake
Milwaukee, WI · On-site
$103K - $141K/yr
Work you'll do As a Senior Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions.
Lead Forward Deployed Engineer, Snowflake
Milwaukee, WI · On-site
$101K - $133K/yr
Work you'll do As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and ...
Lead Forward Deployed Engineer, Snowflake
Milwaukee, WI · On-site
$101K - $133K/yr
Work you'll do As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and ...
Data and Analytics Engineer
Milwaukee, WI · On-site
$112K - $135K/yr
This role focuses on building and maintaining scalable data solutions, collaborating with business stakeholders, and leveraging cloud technologies such as Snowflake and Power BI to drive data-driven ...
Data and Analytics Engineer
Milwaukee, WI · On-site
$112K - $135K/yr
This role focuses on building and maintaining scalable data solutions, collaborating with business stakeholders, and leveraging cloud technologies such as Snowflake and Power BI to drive data-driven ...
IICS Architect
Milwaukee, WI · On-site
AWS, Azure, or Snowflake Certifications are a plus.
IICS Architect
Milwaukee, WI · On-site
AWS, Azure, or Snowflake Certifications are a plus.
Work together with the product team and the Snowflake administration team to provide solutions that fulfill data-as-a-service needs. Analyze, improve, and resolve issues related to query and ETL ...
Work together with the product team and the Snowflake administration team to provide solutions that fulfill data-as-a-service needs. Analyze, improve, and resolve issues related to query and ETL ...
Senior Data Engineer
Milwaukee, WI · Remote
$104K - $141K/yr
Design scalable Snowflake data architectures, including databases, schemas, tables, views, virtual warehouses, role-based access, and approaches for performance and cost optimization. * Build and ...
New
Senior Data Engineer
Milwaukee, WI · Remote
$104K - $141K/yr
Design scalable Snowflake data architectures, including databases, schemas, tables, views, virtual warehouses, role-based access, and approaches for performance and cost optimization. * Build and ...
New
Future/General Interest
Germantown, WI · On-site
Different Positions, such as Sales, PM's, Sr. PM's, Data Engineers, Snowflake inclusive of referrals
Quick apply
Future/General Interest
Germantown, WI · On-site
Different Positions, such as Sales, PM's, Sr. PM's, Data Engineers, Snowflake inclusive of referrals
Optimize Snowflake performance and cost warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation. * Partner with stakeholders to ...
Optimize Snowflake performance and cost warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation. * Partner with stakeholders to ...
Project - Data Engineer II
Milwaukee, WI · On-site
$112K - $135K/yr
Support Snowflake performance and cost optimization through warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation. * Partner with ...
Project - Data Engineer II
Milwaukee, WI · On-site
$112K - $135K/yr
Support Snowflake performance and cost optimization through warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation. * Partner with ...
Manager, Strategic Financial Planning & Analysis
Milwaukee, WI · On-site
$103K - $136K/yr
While the role will leverage business intelligence tools such as Tableau and Snowflake, it is not a technical BI or data engineering role. Instead, this individual will work closely with business and ...
Quick apply
Manager, Strategic Financial Planning & Analysis
Milwaukee, WI · On-site
$103K - $136K/yr
While the role will leverage business intelligence tools such as Tableau and Snowflake, it is not a technical BI or data engineering role. Instead, this individual will work closely with business and ...
Data Engineering Intern OR Student Co-Op
Milwaukee, WI · On-site
$27/hr
Support Snowflake services and warehouse WHAT YOU'LL BRING TO THE ROLE: * Currently pursuing an undergraduate degree in Computer/Software Engineering * 2+ years of experience in data-related ...
Data Engineering Intern OR Student Co-Op
Milwaukee, WI · On-site
$27/hr
Support Snowflake services and warehouse WHAT YOU'LL BRING TO THE ROLE: * Currently pursuing an undergraduate degree in Computer/Software Engineering * 2+ years of experience in data-related ...
Support Snowflake services and warehouse WHAT YOU'LL BRING TO THE ROLE: * Currently pursuing an undergraduate degree in Computer/Software Engineering * 2+ years of experience in data-related ...
Support Snowflake services and warehouse WHAT YOU'LL BRING TO THE ROLE: * Currently pursuing an undergraduate degree in Computer/Software Engineering * 2+ years of experience in data-related ...
Data Engineering Intern OR Student Co-Op
Milwaukee, WI · On-site
$27/hr
Support Snowflake services and warehouse WHAT YOU'LL BRING TO THE ROLE: * Currently pursuing an undergraduate degree in Computer/Software Engineering * 2+ years of experience in data-related ...
Data Engineering Intern OR Student Co-Op
Milwaukee, WI · On-site
$27/hr
Support Snowflake services and warehouse WHAT YOU'LL BRING TO THE ROLE: * Currently pursuing an undergraduate degree in Computer/Software Engineering * 2+ years of experience in data-related ...
Support Snowflake services and warehouse WHAT YOU'LL BRING TO THE ROLE: * Currently pursuing an undergraduate degree in Computer/Software Engineering * 2+ years of experience in data-related ...
Support Snowflake services and warehouse WHAT YOU'LL BRING TO THE ROLE: * Currently pursuing an undergraduate degree in Computer/Software Engineering * 2+ years of experience in data-related ...
Principal Data Architect
Milwaukee, WI · Hybrid
$160K - $190K/yr
Build and optimize data warehouse and lakehouse solutions using modern cloud platforms (Snowflake, Databricks, Azure). * Lead hands-on data modeling (3NF, dimensional, Data Vault) to ensure ...
Principal Data Architect
Milwaukee, WI · Hybrid
$160K - $190K/yr
Build and optimize data warehouse and lakehouse solutions using modern cloud platforms (Snowflake, Databricks, Azure). * Lead hands-on data modeling (3NF, dimensional, Data Vault) to ensure ...
Data Architect - West Bend, WI (Hybrid)
West Bend, WI · Hybrid
$62.25 - $80/hr
... and Snowflake. Primary responsibilities include designing the Data Vault and Dimensional Data Warehouse data models along with developing the dbt data pipelines that transform raw data into ...
Data Architect - West Bend, WI (Hybrid)
West Bend, WI · Hybrid
$62.25 - $80/hr
... and Snowflake. Primary responsibilities include designing the Data Vault and Dimensional Data Warehouse data models along with developing the dbt data pipelines that transform raw data into ...
Sales Operations - Business Intelligence Engineer II
Milwaukee, WI · On-site
$50 - $65/hr
Familiarity with dimensional modeling (star/snowflake schema) and semantic layers. • Cloud & Data Platforms: Experience with cloud environments such as Azure, Snowflake, or Databricks for data ...
Sales Operations - Business Intelligence Engineer II
Milwaukee, WI · On-site
$50 - $65/hr
Familiarity with dimensional modeling (star/snowflake schema) and semantic layers. • Cloud & Data Platforms: Experience with cloud environments such as Azure, Snowflake, or Databricks for data ...
Senior Data Integration Engineer
Milwaukee, WI · On-site
$100K - $145K/yr
Data Platform Engineering (Snowflake readiness, access patterns) * Data Engineers (downstream modeling in Coalesce) * HRIS / Workday teams (source system alignment) * Ensure clean handoffs between ...
New
Senior Data Integration Engineer
Milwaukee, WI · On-site
$100K - $145K/yr
Data Platform Engineering (Snowflake readiness, access patterns) * Data Engineers (downstream modeling in Coalesce) * HRIS / Workday teams (source system alignment) * Ensure clean handoffs between ...
New
Senior Data Integration Engineer
Milwaukee, WI · On-site
$100K - $145K/yr
Data Platform Engineering (Snowflake readiness, access patterns) * Data Engineers (downstream modeling in Coalesce) * HRIS / Workday teams (source system alignment) * Ensure clean handoffs between ...
New
Senior Data Integration Engineer
Milwaukee, WI · On-site
$100K - $145K/yr
Data Platform Engineering (Snowflake readiness, access patterns) * Data Engineers (downstream modeling in Coalesce) * HRIS / Workday teams (source system alignment) * Ensure clean handoffs between ...
New
Snowflake information
See Milwaukee, WI salary details
$35.29 - $39.68
4% of jobs
$39.68 - $44.07
0% of jobs
$44.07 - $48.47
0% of jobs
$48.47 - $52.86
1% of jobs
$52.86 - $57.25
11% of jobs
$58.92 is the 25th percentile. Wages below this are outliers.
$57.25 - $61.64
22% of jobs
The median wage is $65.09 / hr.
$61.64 - $66.03
15% of jobs
$66.03 - $70.43
11% of jobs
$74.09 is the 75th percentile. Wages above this are outliers.
$70.43 - $74.82
13% of jobs
$74.82 - $79.21
10% of jobs
$79.21 - $83.60
13% of jobs
$35
$66
$83
How much do snowflake jobs pay per hour?
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?
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?
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.

Deloitte rating
8.2
Based on 92 frontline employees who took The Breakroom Quiz
45th of 150 rated financial services
Job description
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.
Recruiting for this role ends on 10/30/2026.
Work you'll do
As a Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:
Client Engagement
- Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
- Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
- Lead working sessions to shape solutions and drive client outcomes.
- Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
- Contribute independently within an FDE pod while mentoring newer team members.
Solution Engineering
- Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
- Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
- Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
- Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
- Design extensible functionality, support sprint sizing, and align solutions with senior team members.
- Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
The team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Required qualifications
- Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
- 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
- 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
- 1+ years of experience building reliable, maintainable, and well-documented code
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred qualifications
- Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
- Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
- Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
- Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
- Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
- Experience operating within hybrid onshore/offshore teams
- Familiarity with security, privacy, and compliance considerations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.
Recruiting for this role ends on 10/30/2026.
Work you'll do
As a Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:
Client Engagement
- Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
- Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
- Lead working sessions to shape solutions and drive client outcomes.
- Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
- Contribute independently within an FDE pod while mentoring newer team members.
Solution Engineering
- Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
- Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
- Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
- Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
- Design extensible functionality, support sprint sizing, and align solutions with senior team members.
- Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
The team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Required qualifications
- Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
- 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
- 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
- 1+ years of experience building reliable, maintainable, and well-documented code
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred qualifications
- Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
- Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
- Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
- Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
- Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
- Experience operating within hybrid onshore/offshore teams
- Familiarity with security, privacy, and compliance considerations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Education:Bachelor's DegreeEmployment Type: