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Snowflake Intern Jobs in Dallas, TX (NOW HIRING)

Job Title: Application Development Intern Job Schedule: 9/80 Job Code: 41943 Job Location ... Experience with Snowflake cloud data platform including but not limited to hands-on experience with ...

New

The Data Engineer Intern will be part of the Data Engineering Team. The Data Engineering team works ... like Vertica, Snowflake , MemSQL , Netezza , Redshift * Good understanding of technology and ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Snowflake Cloud data warehouse platform using the Snowpark framework Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing ...

Snowflake Intern information

See Dallas, TX salary details

$8

$16

$24

How much do snowflake intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for snowflake intern in Dallas, TX is $16.85, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What does a Snowflake intern do?

A Snowflake Intern typically works on projects related to data warehousing, cloud computing, and software engineering using the Snowflake platform. Interns may assist with building data pipelines, optimizing queries, or developing new features under the guidance of experienced engineers. The internship provides hands-on experience with real-world data challenges and exposure to modern cloud technologies. Interns are encouraged to learn, collaborate, and contribute to the team’s goals while gaining insights into the industry.

What types of projects can a Snowflake intern expect to work on, and how do these projects support professional development?

As a Snowflake Intern, you can expect to work on a variety of projects such as developing data pipelines, optimizing SQL queries, supporting data migration efforts, and assisting with cloud data warehouse integrations. These projects are typically designed to provide hands-on experience with Snowflake's platform and related cloud technologies, allowing interns to build practical technical skills. You'll often collaborate with experienced engineers and data analysts, gaining insight into real-world data engineering workflows and best practices. This exposure not only enhances your technical toolkit but also helps you understand the collaborative dynamics of data teams, positioning you well for future roles in data engineering or analytics.

What are the key skills and qualifications needed to thrive as a Snowflake intern, and why are they important?

To thrive as a Snowflake Intern, you should have a solid understanding of SQL, data warehousing concepts, and programming languages such as Python or Java, often supported by ongoing coursework in computer science or a related field. Familiarity with the Snowflake platform, cloud services like AWS or Azure, and data analytics tools is highly beneficial. Strong problem-solving, attention to detail, and effective communication skills help you collaborate and learn quickly in a team environment. These competencies are vital to contribute meaningfully to projects and adapt to the fast-paced, data-driven work at Snowflake.

What is the difference between Snowflake Intern vs Snowflake Developer?

AspectSnowflake InternSnowflake Developer
Required CredentialsBasic understanding of cloud data platforms, possibly some coursework or certificationsProficiency in SQL, data warehousing, and Snowflake-specific features, often with relevant certifications
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time role, development-focused, responsible for building and maintaining Snowflake data solutions
Employer & Industry UsageInternships in tech companies, data teams, or consulting firmsData engineering teams across various industries using Snowflake for data management

The main difference between a Snowflake Intern and a Snowflake Developer lies in experience, responsibilities, and skill level. Interns are typically in learning roles with entry-level tasks, while developers are responsible for designing and implementing Snowflake data solutions, requiring more expertise and certifications.

Does Snowflake have internships?

Yes, Snowflake offers internships for students and recent graduates interested in data warehousing, cloud computing, and software development. These internships typically provide hands-on experience with Snowflake's platform and may require relevant skills or coursework. Internships are usually posted on the company's careers page and have specific application deadlines.

What are the most commonly searched types of Snowflake jobs in Dallas, TX?

The most popular types of Snowflake jobs in Dallas, TX are:

Infographic showing various Snowflake Intern job openings in Dallas, TX as of August 2026, with employment types broken down into 13% Internship, 1% As Needed, 63% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $35,054 per year, or $16.9 per hour.

Application Developer Intern

L3HHCM20

Greenville, TX

$16 - $21/hr

Internship

Posted 3 days ago

New


Key responsibilities

  • Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise.

  • Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability.

  • Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use.


Job description

Job Title: Application Development Intern 

Job Schedule: 9/80

Job Code: 41943

Job Location: Greenville, TX

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise.
  • Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability.
  • Create, update, and optimize data connections, datasets, and transformations to align with business needs.
  • Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems.
  • Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use.
  • Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications.
  • Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale.
  • Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides.

Qualifications:

  • To be eligible, applicants must be pursuing a Bachelor's degree in Information Technology, Computer Engineering, Computer Science or related field

Preferred Additional Skills:

  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies.
  • Experience with Snowflake cloud data platform including but not limited to hands-on experience with Snowflake
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience in ETL tools such as Palantir Foundry, ADF (Azure Data Factory), SSIS, Informatica or Talend is preferable
  • Working knowledge to connect and extract data from various ERP applications such as Oracle EBS, SAP ECC/S4, Deltek Costpoint, REST API, and more.
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar.
  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repo, PySpark and Spark SQL, and data build/sync schedule deployment in Palantir
  • Experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
  • Data Integration experience in Palantir or similar data integration tools.