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Snowflake Jobs in Kentucky (NOW HIRING)

ETL Tester

Louisville, KY · On-site

$60K - $135K/yr

The testers should be strong in SQL, Cloud (experience in testing snowflake and /or databricks ). Test lead/Tester who can automate heterogeneous database test cases to reconcile data post cloud ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Showing results 21-40

Snowflake information

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.

What are the most commonly searched types of Snowflake jobs in Kentucky? The most popular types of Snowflake jobs in Kentucky are:
What are popular job titles related to Snowflake jobs in Kentucky? For Snowflake jobs in Kentucky, the most frequently searched job titles are:
What cities in Kentucky are hiring for Snowflake jobs? Cities in Kentucky with the most Snowflake job openings:
Infographic showing various Snowflake job openings in Kentucky as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

GenAI Python Systems Engineer -Senior Manager

Pwc

Louisville, KY • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies.
Responsibilities
- Lead the creation and execution of data architecture strategies
- Drive innovation and thought leadership in data solutions
- Collaborate with stakeholders to align technical solutions with business needs
- Maintain compliance with data governance and security protocols
- Promote an environment where technology and people excel together
- Translate complex data requirements into actionable technical plans
- Oversee the implementation of advanced data technologies
- Facilitate cross-functional collaboration to enhance data architecture
What You Must Have
- Bachelor's Degree
- 8 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
- Proficient in Python and structured/unstructured data
- Proficient in SQL and relational databases
- Writing and maintaining FastAPI endpoints for applications
- Understanding AI techniques enhancing LLMs
- Experience in prompt engineering for LLM outputs
- Developing scalable data storage solutions using cloud services
- Designing and managing data warehouses and data lakes
- Implementing IAM roles and policies for cloud platforms

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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