1

Databricks Internships Jobs in Missouri (NOW HIRING)

... fund), Databricks Ventures, Snowpoint Ventures, and Kleiner Perkins. About the Role: Shape the ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

Databricks Internships information

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

AspectDatabricks InternshipsData Engineer Internships
Required SkillsKnowledge of Spark, cloud platforms, programming (Python, Scala)Data pipeline development, SQL, cloud services, programming (Python, Java)
Work EnvironmentCollaborative, tech-focused, cloud-based platformsData processing, database management, cloud infrastructure
Industry UsageTech companies using Databricks platformOrganizations managing large-scale data systems

Databricks Internships typically focus on working with the Databricks platform, Spark, and cloud-based data solutions. Data Engineer Internships involve building and maintaining data pipelines, working with databases, and cloud infrastructure. Both roles require programming skills and familiarity with cloud services, but Databricks Internships are more platform-specific, while Data Engineer Internships cover broader data engineering tasks.

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

To thrive as a Databricks Intern, you should have a solid background in computer science, programming (especially Python, Scala, or SQL), and data analytics, often supported by relevant coursework or project experience. Familiarity with big data platforms like Apache Spark, cloud services (AWS, Azure), and version control systems such as Git is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and grow within diverse technical teams. These skills and qualities are crucial for contributing to real-world data projects and maximizing the learning experience during the internship.

What types of projects and responsibilities can Databricks interns expect to work on during their internship?

Databricks interns typically work on impactful, real-world projects alongside full-time engineers or data scientists. You may contribute to product features, optimize data pipelines, or help improve machine learning models, depending on your team placement. Interns are encouraged to collaborate cross-functionally, participate in code reviews, and attend team meetings, gaining exposure to agile development practices and cloud technologies. This hands-on experience fosters strong technical growth and provides valuable insight into fast-paced, collaborative tech environments.

What are Databricks internships?

Databricks internships are structured programs that offer students and recent graduates the opportunity to gain hands-on experience working with data engineering, machine learning, and cloud technologies at Databricks. Interns typically work on real-world projects alongside experienced engineers, data scientists, and business professionals. These internships provide mentorship, training, and networking opportunities, and are a valuable way to learn about the tech industry and Databricks’ culture. They are available in a variety of roles, including software engineering, product management, and data science.
What are popular job titles related to Databricks Internships jobs in Missouri? For Databricks Internships jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Databricks Internships jobs? Cities in Missouri with the most Databricks Internships job openings:
Junior Data Platform Administrator

Junior Data Platform Administrator

MERS Goodwill

Kansas City, MO • On-site

$31.25 - $33.65/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


MERS Goodwill rating

7.0

Company rating: 7.0 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

301st of 682 rated non-profit organizations


Job description

Required Travel: 0%
Position Type: Salaried
Hourly Rate: $31.25 - $33.65
MERS/Missouri Goodwill Industries is looking for an energetic, self-motivated, and professional Junior Data Platform Administrator to join our Management Information Systems team! The ideal candidate will support our mission, "Changing Lives Through the Power of Work!" and embody our core values of diversity, integrity, passion, professionalism, respect, and responsibility.
If you're seeking an opportunity that empowers you to achieve new goals while pursuing a mission-driven career, then this is the perfect fit for you.
About the Role
The Junior Data Platform Administrator is responsible for supporting the ingestion, processing, and ongoing maintenance of data pipelines within the MERS/Goodwill Databricks environment. This position works under the direction of the Data Lake team lead and partners with IT, finance, retail operations, and business intelligence stakeholders to deliver reliable, well-documented data assets that support organizational reporting and analytics. This is an entry-level engineering role intended to develop into broader data platform responsibilities over time.
Qualifications
  • Bachelors degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field; or an equivalent combination of education and experience.
  • 0-2 years of professional or internship experience in data engineering, analytics engineering, business intelligence, or database administration.
  • Working knowledge of SQL, relational databases, data modeling, and ETL/ELT concepts.
  • Experience with at least one programming language, preferably Python.
  • Familiarity with cloud data platforms, including Databricks, Apache Spark, or PySpark preferred.
  • Understanding of structured and unstructured data formats such as CSV, JSON, and Parquet.
  • Ability to troubleshoot, validate data, and interpret existing code and pipelines.
  • Familiarity with Git and exposure to Microsoft Azure or Entra ID is a plus.
  • Strong written and verbal communication skills with the ability to work independently and collaboratively.
  • Detail-oriented with a commitment to continuous learning and data security best practices.

Primary Duties/Responsibilities
  • Build, monitor, and maintain data ingestion pipelines into the Databricks from various source systems including API endpoints and POS systems.
  • Develop and maintain notebooks, jobs, and workflows in Databricks using PySpark and SQL.
  • Perform routine maintenance of the Databricks environment, including cluster configuration assistance, job scheduling, pipeline reruns, and data quality validation.
  • Investigate and resolve pipeline failures, data freshness issues, and schema drift; document root cause and remediation steps.
  • Apply medallion architecture practices (bronze, silver, gold) under the direction of senior team members to organize raw, refined, and curated data.
  • Collaborate with the Data Lake team and business stakeholders to translate reporting and analytics requirements into data engineering tasks.
  • Maintain accurate documentation of data sources, pipelines, table schemas, and operational runbooks.
  • Support data governance practices including access control, sensitivity classification, and audit logging in accordance with organizational requirements.
  • Participate in code reviews, version control workflows, and CI/CD processes for data engineering assets.
  • Respond to ad hoc data requests and assist with data extraction and validation tasks as assigned.
  • Participate in team meetings, status reporting, and ongoing skill development activities.
  • Perform other duties as assigned.

Benefits
  • Individual and family medical benefits for full-time employees working 30 or more hours per week the first day of the month after date of hire.
  • Individual and family dental and vision benefits on the first of the month following the hire date for employees working 20 or more hours week.
  • Voluntary Life and AD&D Insurance on the first of the month following the hire date for employees working 20 or more hours per week.
  • 403(B) Retirement on date of hire for employees working 20 or more hours per week.
  • 403(B) Retirement + Employer Match after one year of employment for employees working 20 or more hours per week.
  • 401(A) Retirement on date of hire for employees working 20 or more hours per week.
  • PTO Accrual up to 15 days based on hours worked.
  • Employee store discount
  • Paid holidays
  • Flexible Schedules
  • Career Growth Opportunities

MERS Missouri Goodwill is an equal-opportunity employer. MERS Goodwill does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any other non-merit factor.
MERS Missouri Goodwill requires various background and records checks upon employment.