... Databricks, dbt, Snowflake, and Azure • Write efficient SQL and Python for data processing and ... internships or projects) • Strong fundamentals in SQL and Python • Familiarity with cloud ...
... Databricks, dbt, Snowflake, and Azure • Write efficient SQL and Python for data processing and ... internships or projects) • Strong fundamentals in SQL and Python • Familiarity with cloud ...
Associate Data Engineer
Seattle, WA · On-site
... • Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or ... Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). • Exposure to AI/ML ...
Associate Data Engineer
Seattle, WA · On-site
... • Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or ... Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). • Exposure to AI/ML ...
... prior roles, internships, or coursework. * Experience with Python, R, or another scripting ... Familiarity with large-scale data platforms or cloud environments (e.g., Azure Synapse, Databricks ...
... prior roles, internships, or coursework. * Experience with Python, R, or another scripting ... Familiarity with large-scale data platforms or cloud environments (e.g., Azure Synapse, Databricks ...
Internship Azure Databricks information
See Seattle, WA salary details
$15.32 - $17.93
5% of jobs
$17.93 - $20.54
7% of jobs
$23.10 is the 25th percentile. Wages below this are outliers.
$20.54 - $23.15
13% of jobs
$23.15 - $25.76
9% of jobs
The median wage is $27.87 / hr.
$25.76 - $28.38
19% of jobs
$28.38 - $30.99
18% of jobs
$31.64 is the 75th percentile. Wages above this are outliers.
$30.99 - $33.60
14% of jobs
$33.60 - $36.21
7% of jobs
$36.21 - $38.82
4% of jobs
$38.82 - $41.43
0% of jobs
$41.43 - $44.04
3% of jobs
$15
$28
$44
How much do internship azure databricks jobs pay per hour?
As of Jul 15, 2026, the average hourly pay for internship azure databricks in Seattle, WA is $28.93, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $32.84 per hour, depending on experience, location, and employer.
What is the difference between Internship Azure Databricks vs Data Engineer Intern?
| Aspect | Internship Azure Databricks | Data Engineer Intern |
|---|---|---|
| Required Skills | Azure, Databricks, SQL, Python | SQL, Python, ETL, Cloud platforms |
| Work Environment | Cloud-based, data analytics projects | Data pipelines, database management |
| Certifications | Azure certifications beneficial | Basic data engineering certifications helpful |
Internship Azure Databricks focuses on working with the Databricks platform on Azure for data analytics, while Data Engineer Interns work on building data pipelines and managing data infrastructure. Both roles require knowledge of SQL and Python, but Azure Databricks emphasizes cloud-based analytics, making it ideal for those interested in cloud data solutions.
What is an Azure Databricks internship?
An Azure Databricks internship is a temporary, hands-on role for students or recent graduates to gain practical experience working with Azure Databricks, a cloud-based data analytics platform. Interns typically assist with data engineering, data analytics, or machine learning projects using tools such as Apache Spark within the Azure environment. The internship helps participants develop technical skills, learn about big data processes, and contribute to real-world business solutions under the guidance of experienced professionals.
What are the key skills and qualifications needed to thrive as an Azure Databricks Intern, and why are they important?
To thrive as an Azure Databricks Intern, you need a solid understanding of data analytics, programming (especially Python or Scala), and foundational knowledge of cloud computing concepts. Familiarity with Databricks, Azure cloud services, SQL, and possibly certifications like Microsoft Azure Fundamentals are typically beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate with teams and adapt quickly in a fast-paced environment. These skills enable you to efficiently process and analyze data, contribute to projects, and make the most of your internship experience.
Is Azure Databricks in demand?
Azure Databricks skills are highly in demand as organizations increasingly adopt cloud-based data analytics and machine learning solutions. Professionals with expertise in Azure, Spark, and data engineering are sought after for roles involving big data processing and AI development.
What are some common challenges faced during an Azure Databricks internship, and how can I prepare for them?
As an Azure Databricks intern, you may encounter challenges such as learning to navigate the Databricks workspace, understanding distributed data processing with Spark, and collaborating across multidisciplinary teams. To prepare, it's helpful to familiarize yourself with cloud computing basics, Python or Scala programming, and foundational data engineering concepts. You'll often work closely with data engineers and analysts, so strong communication and a willingness to ask questions are key to overcoming initial hurdles and making the most of your learning experience.
Does Databricks hire interns?
Databricks offers internship programs, including roles related to Azure Databricks, for students and early-career professionals. Internships typically involve hands-on experience with cloud-based data analytics, Spark, and machine learning tools, and are often available during summer or semester periods. Applicants usually need relevant technical skills and may be required to apply through the company's careers portal or university recruiting channels.
Is Databricks a high paying job?
An internship involving Azure Databricks typically offers lower compensation compared to full-time data engineering or data science roles, but it can provide valuable industry experience and skill development. Salaries for such internships vary based on location, company, and level of expertise, with some paying competitive stipends. Overall, full-time positions utilizing Databricks and related cloud tools tend to have higher salaries due to the specialized skills required.
How much do Databricks interns get paid?
Interns at Databricks working with Azure Databricks typically receive a stipend or hourly pay that ranges from $20 to $40 per hour, depending on location, experience, and the specific internship program. Compensation often includes opportunities to develop skills in cloud computing, data analytics, and Spark-based environments during the internship period.
What are the most commonly searched types of Azure Databricks jobs in Seattle, WA? The most popular types of Azure Databricks jobs in Seattle, WA are:
What are popular job titles related to Internship Azure Databricks jobs in Seattle, WA? For Internship Azure Databricks jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Internship Azure Databricks jobs in Seattle, WA look for? The top searched job categories for Internship Azure Databricks jobs in Seattle, WA are:
Full-time
Posted 28 days ago
Job description
Job Summary:
UST HealthProof is a mission-driven company that transforms lives through technology. They are seeking early-career engineers to build scalable data pipelines and ensure data quality in a fast-paced, cloud-native environment.
Responsibilities:
• Build and support ETL/ELT pipelines using Databricks, dbt, Snowflake, and Azure
• Write efficient SQL and Python for data processing and transformations
• Leverage AI-assisted development tools (Claude, Copilot) for coding and debugging
• Ensure data quality, reliability, and pipeline monitoring
• Collaborate with reporting and engineering teams to meet data needs
• Participate in Agile/Scrum ceremonies and deliver sprint commitments
• Support production operations and incident triage
Qualifications:
Required:
• Graduation Year: 2024, 2025 or 2026
• GPA: 3.5
• Bachelor’s degree in Computer Science, Engineering, or related field
• 0–2 years of experience (including internships or projects)
• Strong fundamentals in SQL and Python
• Familiarity with cloud platforms (Azure preferred) and data concepts
• Experience with Git/version control and collaborative development
• Exposure to AI coding tools (Claude, GitHub Copilot, etc.)
• Strong communication skills and ability to learn quickly
Preferred:
• Graduates from top-tier universities (e.g., MIT, Stanford, CMU, UC Berkeley, or equivalent)
• Candidates with experience/internships at leading tech companies (Amazon, Google, Meta, etc.)
• Demonstrated strong problem-solving ability and learning agility, even with limited hands-on experience
• Exposure to Databricks, dbt, Snowflake (projects/coursework acceptable)
• Experience with Azure Data Factory / Data Lake
• Hands-on project experience using AI-assisted development
Company:
UST HealthProof offers risk adjustment, quality programs, and healthcare payer technology services. It is a sub-organization of UST. Founded in 1999, the company is headquartered in Aliso Viejo, USA, with a team of 501-1000 employees. The company is currently Late Stage.
UST HealthProof is a mission-driven company that transforms lives through technology. They are seeking early-career engineers to build scalable data pipelines and ensure data quality in a fast-paced, cloud-native environment.
Responsibilities:
• Build and support ETL/ELT pipelines using Databricks, dbt, Snowflake, and Azure
• Write efficient SQL and Python for data processing and transformations
• Leverage AI-assisted development tools (Claude, Copilot) for coding and debugging
• Ensure data quality, reliability, and pipeline monitoring
• Collaborate with reporting and engineering teams to meet data needs
• Participate in Agile/Scrum ceremonies and deliver sprint commitments
• Support production operations and incident triage
Qualifications:
Required:
• Graduation Year: 2024, 2025 or 2026
• GPA: 3.5
• Bachelor’s degree in Computer Science, Engineering, or related field
• 0–2 years of experience (including internships or projects)
• Strong fundamentals in SQL and Python
• Familiarity with cloud platforms (Azure preferred) and data concepts
• Experience with Git/version control and collaborative development
• Exposure to AI coding tools (Claude, GitHub Copilot, etc.)
• Strong communication skills and ability to learn quickly
Preferred:
• Graduates from top-tier universities (e.g., MIT, Stanford, CMU, UC Berkeley, or equivalent)
• Candidates with experience/internships at leading tech companies (Amazon, Google, Meta, etc.)
• Demonstrated strong problem-solving ability and learning agility, even with limited hands-on experience
• Exposure to Databricks, dbt, Snowflake (projects/coursework acceptable)
• Experience with Azure Data Factory / Data Lake
• Hands-on project experience using AI-assisted development
Company:
UST HealthProof offers risk adjustment, quality programs, and healthcare payer technology services. It is a sub-organization of UST. Founded in 1999, the company is headquartered in Aliso Viejo, USA, with a team of 501-1000 employees. The company is currently Late Stage.