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Trainee Full Stack Data Scientist Jobs in Ohio (NOW HIRING)

Architect and build back-end processing logic and services for complex, data-intensive applications ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information ...

Architect and build back-end processing logic and services for complex, data-intensive applications ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information ...

Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied ... As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and ...

Join our team as a Full Stack Engineer and be the hands-on technical owner for modern, data-aware ... Degree in Computer Science, Software Engineering, or IT or equivalent work experience * 5+ years ...

$120 - $180/hr

MeanderX, formerly Orbio Earth, YC S23 | Senior Full-Stack Engineer | Germany, London, or Cape Town ... AI data analysis pipelines, scraping infrastructure, LLM extraction workflows, internal AI tools ...

New

Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational ... Radiance is seeking a highly qualified and motivated data scientist to support GEOINT and Multi-INT ...

Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational ... Radiance is seeking a highly qualified and motivated data scientist to support GEOINT and Multi-INT ...

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Trainee Full Stack Data Scientist information

What is the difference between Trainee Full Stack Data Scientist vs Data Analyst?

AspectTrainee Full Stack Data ScientistData Analyst
Required SkillsBasic programming, data analysis, machine learning fundamentalsData visualization, statistical analysis, Excel proficiency
CertificationsEntry-level data science courses, certifications in Python or RExcel, SQL, Tableau certifications
Work EnvironmentCollaborative teams, project-based, tech-focusedBusiness units, reporting, data interpretation
Industry UsageTech, finance, healthcare, startupsRetail, marketing, finance, healthcare

The Trainee Full Stack Data Scientist is an entry-level role focusing on developing skills in programming, machine learning, and data modeling, often in tech-driven environments. In contrast, Data Analysts primarily focus on data visualization, reporting, and statistical analysis to support business decisions. While both roles require analytical skills, the Data Scientist role involves more technical and coding expertise, whereas Data Analysts focus on interpreting data for insights.

What are the most commonly searched types of Full Stack Data Scientist jobs in Ohio? The most popular types of Full Stack Data Scientist jobs in Ohio are:
What are popular job titles related to Trainee Full Stack Data Scientist jobs in Ohio? For Trainee Full Stack Data Scientist jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Trainee Full Stack Data Scientist jobs in Ohio look for? The top searched job categories for Trainee Full Stack Data Scientist jobs in Ohio are:

Full Stack Data Engineer

Cavaliers Holdings LLC

Cleveland, OH • On-site

$80K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago


Job description

Cavaliers Holdings LLC is obsessed with delivering epic experiences for our team members, our fans, our community and the world. Fueled by an unapologetically bold, inclusive and high-impact culture, we strive to recruit individuals who are enthusiastic and purposeful in carrying out our vision as transformative leaders in sports and entertainment. If you are ready to bring your best to the dynamic, high-performance environment of the Cavs, Cleveland WNBA, Monsters, Charge, RESN and Rocket Arena - where we come together to create moments that move, inspire, and uplift - then we want to hear from you.
JOB SUMMARY:
We're hiring a Full-Stack Data Engineer to join a small, high-trust team building the systems that fuel decisions across the organization. This is a two-sided role by design: you'll build and own the data pipelines that feed our warehouse and the applications and interfaces that put that data in the hands of business users. The systems you build won't stop at a table - they'll go all the way through to something a stakeholder actually uses. If you want to be a pure data engineer forever, this isn't the seat. We want engineers who move fluidly between pipeline work and application work because that's how our team ships end-to-end value.
ESSENTIAL DUTIES & RESPONSIBILITIES:
  • Design, build, and maintain production data pipelines feeding our Aurora PostgreSQL warehouse and downstream analytics
  • Own dbt models end-to-end: sources, staging, marts, tests, documentation
  • Improve pipeline reliability: monitoring, alerting, incident response, root-cause analysis
  • Build and maintain internal applications, APIs, and integrations that expose data to business teams in Ticketing, Marketing, Sales, and BIG (Business Intelligence Group)
  • Integrate with vendor systems and third-party APIs to move data in and out of the platform
  • Partner directly with business stakeholders and analysts to translate a business need into a shipped system
  • Choose the right solution (build, buy, configure, automate, or advise), not the most engineering-intensive one
  • Contribute to platform decisions: tooling, standards, architecture
  • Write change notices, code reviews, and documentation

REQUIRED QUALIFICATIONS:
  • 4-6 years of hands-on engineering experience in a production environment, spanning both data engineering and application/backend development
  • Strong dbt experience - you've built and maintained a real dbt project, not just run through a tutorial
  • Deep SQL fluency and comfort with structured/relational databases (PostgreSQL preferred; Snowflake, Redshift, BigQuery all translate)
  • Demonstrated experience designing and operating data pipelines (orchestration, dependencies, retries, observability)
  • Demonstrated experience building applications, APIs, or services that non-engineers actually use in production
  • Working proficiency with AI coding tools (Claude Code, Codex, Cursor, or equivalent) as part of your day-to-day engineering practice - you can speak to what you've built with them and where they break down
  • Python proficiency for pipeline logic, transformations, and glue code
  • Version control (Git), code review, and CI/CD hygiene
  • AWS experience (RDS/Aurora, Lambda, S3, IAM)
  • Experience with dbt-osmosis, dbt docs, or similar metadata tooling
  • Frontend/UI experience for internal tooling (any modern framework)
  • Exposure to sports, entertainment, ticketing, or CRM data models
  • Background integrating vendor APIs (Ticketmaster, Salesforce, Adobe, etc.)
  • Comfort with light DevOps (Terraform, GitHub Actions)

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
Actual compensation will depend on your experience, education/credentials, skills, and how they fit our organizational needs. Rock Entertainment Group offers a robust perks package with healthcare, dental, vision, retirement, and more!