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Summer Databricks Jobs (NOW HIRING)

... summer 2026 * Ability to obtain and maintain a public trust requiring ship * Proficient in ... Hadoop, Databricks, etc.) Target salary range: $80,001 - $120,000. The estimate displayed ...

... Databricks and more. Our mission: bring real AI automation to the enterprise - with speed and ... Summer/Fall 2026 (flexible) Tessera Labs is an equal opportunity employer and welcomes candidates ...

... Databricks), and activation tools (Hightouch, Eppo, Hex) * Build out and maintain Huckberry ... Summer Fridays * Weekly catered lunch * Monthly happy hours * Mental health resources * Paid ...

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Summer Databricks information

What are the key skills and qualifications needed to thrive as a Databricks Data Engineer, and why are they important?

To excel as a Databricks Data Engineer, you need a solid background in data engineering, programming (Python, Scala, or SQL), and experience with big data platforms, usually backed by a relevant degree. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and certifications such as Databricks Certified Data Engineer are highly valued. Strong problem-solving, communication, and collaboration skills help you work effectively in cross-functional teams and deliver scalable data solutions. These competencies are crucial for building efficient data pipelines and driving data-driven decision-making in organizations.

What types of projects do interns typically work on during a Summer Databricks internship?

As a Summer Databricks intern, you will often work on impactful projects that contribute directly to the company's products and services. Interns may collaborate with full-time engineers and data scientists on tasks such as optimizing data pipelines, building new features for the Databricks platform, or improving machine learning workflows. You'll also have opportunities to participate in code reviews, team meetings, and cross-functional collaborations, providing valuable exposure to real-world software development practices and team dynamics.

What is the difference between Summer Databricks vs Summer Data Engineer?

AspectSummer DatabricksSummer Data Engineer
Required SkillsExperience with Databricks platform, Spark, SQL, PythonKnowledge of data pipelines, SQL, Python, cloud platforms
Work EnvironmentCollaborative team using Databricks for data analyticsDesigning and building data pipelines in cloud environments
Industry UsageTech, finance, healthcare companies leveraging DatabricksOrganizations managing large-scale data infrastructure

Both roles focus on data processing and analytics, with Summer Databricks emphasizing expertise in the Databricks platform and Spark, while Summer Data Engineer centers on building and maintaining data pipelines across cloud environments. The choice depends on specific technical skills and project focus.

What are Summer Databricks internships?

Summer Databricks internships are temporary, full-time positions offered to students or recent graduates during the summer months at Databricks, a company known for its unified analytics and data engineering platform. Interns typically work on real-world projects related to big data, machine learning, and cloud computing, gaining hands-on experience with Databricks' technologies. These internships provide mentorship, networking opportunities, and a chance to contribute to impactful projects, often leading to career opportunities in data engineering and analytics.
More about Summer Databricks jobs
What cities are hiring for Summer Databricks jobs? Cities with the most Summer Databricks job openings:
What are the most commonly searched types of Databricks jobs? The most popular types of Databricks jobs are:
What states have the most Summer Databricks jobs? States with the most job openings for Summer Databricks jobs include:
Infographic showing various Summer Databricks job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 100% In-person job distribution.
Data Scientist Associate

$58K - $59K/yr

Full-time

Posted 12 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services


Job description

Job Description
SAIC is looking for a Data Scientist Associate to help the Identity and Data Sciences Laboratory (IDSL) which is tasked with identifying state-of-the-art technologies including facial recognition and AI, evaluating performance, and examining their applicability to existing or emerging customer use cases. The IDSL has a cutting-edge infrastructure consisting of both on-prem distributed computing clusters and cloud based analytic environments, which we use for gathering and processing multi-modal data in real-time from large-scale experiments conducted at our test facility (Maryland Test Facility; http://mdtf.org), in field locations, as well as from external data sources.
Hybrid - 3 Days in Office / 2 Days Remote
What You Will Be Doing:
  • Contribute to data acquisition, management, and processing tasks, working with senior data scientists, software engineers and evaluation designers to build efficient data pipelines
  • Access available infrastructure, and to develop analytic products tailored to mission user requirements
  • Work with senior team members to organize, clean, migrate and process datasets with advanced computer vision algorithms
  • Testing different LLMs

Qualifications
Requirements:
  • A bachelor's degree in computer science, data science, or a comparative quantitative science or scheduled to obtain one by spring or summer 2026
  • Ability to obtain and maintain a public trust requiring US Citizenship
  • Proficient in programming a must (Python, C++, Golang, Java, etc.)
  • Ability to build out data pipelines as this will be the main function of role
  • Desire to learn GoLang
  • Familiar with machine learning, data mining, and/or statistics (R, Python, etc.)
  • Familiar with source control (e.g., Git)
  • Familiar with common data formats (JSON, Parquet, XML, etc.)
  • Familiar with database technologies (SQL, NoSQL)
  • Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audience

Desired Skills:
  • Prior experience related to data engineering, data science, data architecture, and databases
  • Understanding of scaling and performance of distributed/cloud systems (AWS)
  • Understanding of data science concepts, AI/ML, automation, and scripting
  • Experience with techniques and platforms to manage, manipulate, and draw insight from large datasets (Spark, Hadoop, Databricks, etc.)

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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