... at Databricks, Facebook, Thoughtspot, Google, Splunk, and Amazon. As a company, we are extremely ... As a Software Engineering Intern at Deductive AI, you will be building the next generation of ...
... at Databricks, Facebook, Thoughtspot, Google, Splunk, and Amazon. As a company, we are extremely ... As a Software Engineering Intern at Deductive AI, you will be building the next generation of ...
The intern will work closely with our experienced data scientists, engineers, and business ... and data engineering activities, including ETL processes, within Snowflake or Databricks ...
The intern will work closely with our experienced data scientists, engineers, and business ... and data engineering activities, including ETL processes, within Snowflake or Databricks ...
The intern will work closely with our experienced data scientists, engineers, and business ... and data engineering activities, including ETL processes, within Snowflake or Databricks ...
The intern will work closely with our experienced data scientists, engineers, and business ... and data engineering activities, including ETL processes, within Snowflake or Databricks ...
The intern will work closely with our experienced data scientists, engineers, and business ... and data engineering activities, including ETL processes, within Snowflake or Databricks ...
The intern will work closely with our experienced data scientists, engineers, and business ... and data engineering activities, including ETL processes, within Snowflake or Databricks ...
Data Engineer Intern (Ads Data) - 2026 Summer (BS/MS)
San Jose, CA · On-site
$45 - $60/hr
... Learning Engineers and other stakeholders to understand data requirements and deliver data ... Snowflake, Databricks, BigQuery) and modern business intelligence/data stack. 3. Experience with ...
Data Engineer Intern (Ads Data) - 2026 Summer (BS/MS)
San Jose, CA · On-site
$45 - $60/hr
... Learning Engineers and other stakeholders to understand data requirements and deliver data ... Snowflake, Databricks, BigQuery) and modern business intelligence/data stack. 3. Experience with ...
Intern Databricks Developer information
See Livermore, CA salary details
$13.53 - $16.51
3% of jobs
$16.51 - $19.48
14% of jobs
$21.07 is the 25th percentile. Wages below this are outliers.
$19.48 - $22.46
16% of jobs
The median wage is $23.94 / hr.
$22.46 - $25.43
35% of jobs
$27.32 is the 75th percentile. Wages above this are outliers.
$25.43 - $28.40
11% of jobs
$28.40 - $31.38
9% of jobs
$31.38 - $34.35
4% of jobs
$34.35 - $37.32
0% of jobs
$37.32 - $40.30
4% of jobs
$40.30 - $43.27
0% of jobs
$43.27 - $46.24
3% of jobs
$13
$26
$46
How much do intern databricks developer jobs pay per hour?
How much do Databricks interns get paid?
Does Databricks hire interns?
Is Databricks a high paying job?
Is Databricks hiring entry level positions?
What is the difference between Intern Databricks Developer vs Intern Data Engineer?
| Aspect | Intern Databricks Developer | Intern Data Engineer |
|---|---|---|
| Primary Focus | Developing and optimizing data processing using Databricks platform | Building and maintaining data pipelines and infrastructure |
| Skills & Certifications | Knowledge of Spark, Databricks, SQL, Python; basic cloud certifications | Knowledge of ETL, SQL, cloud platforms, scripting; similar certifications |
| Work Environment | Collaborates with data science and analytics teams on Databricks platform | Works with data engineering teams on data pipelines and storage |
While both roles involve working with data and cloud platforms, the Intern Databricks Developer primarily focuses on developing data solutions within the Databricks environment, whereas the Intern Data Engineer concentrates on building and maintaining data infrastructure and pipelines across various platforms. Both roles require similar technical skills and certifications, but their day-to-day tasks and focus areas differ.
Full-time
Posted 10 days ago
Job description
Deductive AI is building the world's first real-time reasoning engine that can help root cause and mitigate large-scale software outages by reasoning about distributed systems, code, and statistical anomalies in real-time across unprecedented volumes of telemetry data (metrics, logs, traces, and events). Our team has decades of experience in building and maintaining large-scale production systems at Databricks, Facebook, Thoughtspot, Google, Splunk, and Amazon. As a company, we are extremely well-funded by some of the top VCs in the valley and are fortunate to have the backing of stellar investors and advisors.
Role Description
We are seeking interns for the fall 2024 season. This is a paid, on-site internship role at Deductive AI located in Mountain View, CA. As a Software Engineering Intern at Deductive AI, you will be building the next generation of foundational code and data processing systems that can reason on extremely large amounts of structured and unstructured data. This role involves deep technical challenges where you will be working on solving some very interesting problems at the intersection of AI, code understanding, and data analytics.
Qualifications:
- Enrolled in a Bachelor's, Master's, or PhD program in Computer Science, or a related technical field, with a strong academic record.
- Strong foundation in computer science with competencies in data structures, algorithms, and system design.
- Familiarity with advanced programming languages such as Java, Scala, Python, Javascript or C++, with a strong grasp of algorithm optimization.
- Familiarity with machine learning frameworks and libraries, and a keen interest in applying ML techniques to real-world problems.
- Previous experience or knowledge of code and observability tools, real-time analytics, and large-scale system design is highly desirable.
- Strong analytical and problem-solving skills, and attention to detail.
What We Offer:
- Hands-on experience in a fast-growing startup with a disruptive product.
- Direct mentorship from highly experienced engineers and interaction with our renowned advisors and investors.
- A collaborative, inclusive, and dynamic work environment.
- Competitive compensation and potential for full-time opportunities.
- Opportunities to attend, publish, and speak at leading academic and industry conferences