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Intern Databricks Data Engineer Jobs in Columbus, OH

Vaco by Highspring

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

... Databricks, or equivalent).appning+1 Proficiency in SQL and data transformation frameworks ... Data Engineering on Microsoft Azure) or Fabric Data Engineer Associate (DP-600).learn.microsoft+1 ...

Pwc

GenAI Python Systems Engineer-Manager

Columbus, OH · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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How much do intern databricks data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for intern databricks data engineer in Columbus, OH is $24.55, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Databricks Data Engineer jobs in Columbus, OH?

The most popular types of Databricks Data Engineer jobs in Columbus, OH are:

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For Intern Databricks Data Engineer jobs in Columbus, OH, the most frequently searched job titles are:

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Intern Databricks Data Engineer jobs near you

Senior Data Engineer

Advanced Drainage Systems

Hilliard, OH • On-site

$100K - $136K/yr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 15 days ago

Advanced Drainage Systems rating

7.0

Company rating: 7.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

44th of 84 rated plastic manufacturers

Job description

Overview
Advanced Drainage Systems is a leading manufacturer of stormwater and onsite septic wastewater solutions, committed to sustainability and innovation. With a vast manufacturing and distribution network, we deliver high-quality products across multiple industries while recycling over half a billion pounds of plastic annually. At ADS, we foster a culture where diverse perspectives drive better ideas, ensuring every employee feels valued, heard, and empowered to make an impact.
Responsibilities
Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build, and scale modern data pipelines and AI-ready data platforms that drive operational excellence, manufacturing insights, and advanced analytics across the enterprise.
This role will be a key contributor to ADS's data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise reporting. The ideal candidate combines strong data engineering fundamentals with experience preparing data for AI use cases such as predictive maintenance, demand forecasting, and process optimization.
Key Responsibilities
Data Engineering & Platform Development
  • Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks)
  • Develop and maintain bronze/silver/gold data layers (medallion architecture) for analytics and AI consumption
  • Integrate data from ERP, manufacturing systems, IoT sensors, and third-party platforms into a unified data environment
  • Ensure high data quality, reliability, and performance across pipelines

AI & Advanced Analytics Enablement
  • Engineer datasets optimized for machine learning and AI models
  • Partner with data scientists and analytics teams to support predictive maintenance, demand forecasting, and anomaly detection use cases
  • Implement data pipelines that support real-time or near-real-time analytics where applicable
  • Enable feature engineering and model-ready datasets

Data Integration & Modernization
  • Support migration from legacy platforms (e.g., SQL Server/SSAS) to modern cloud data platforms
  • Build and maintain integrations using tools such as Informatica, APIs, and streaming frameworks
  • Contribute to architecture patterns that enable scalable and reusable data products

Data Governance, Security & Quality
  • Implement and enforce data governance standards, lineage, and metadata management
  • Ensure compliance with data security and privacy policies
  • Monitor and improve data quality and pipeline performance metrics

Collaboration & Business Alignment
  • Partner with business stakeholders (Manufacturing, Supply Chain, Sales) to understand data needs
  • Work closely with analytics engineers, BI developers, and SMEs to deliver trusted data assets
  • Translate business requirements into scalable data solutions

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 3-7+ years of experience in data engineering or data platform development
  • Strong proficiency in SQL and Python
  • Hands-on experience with cloud data platforms (Snowflake, Azure, or AWS)
  • Experience building ETL/ELT pipelines and data models
  • Familiarity with data warehousing concepts and medallion architecture

Preferred Qualifications
  • Experience supporting AI/ML workflows or data science teams
  • Knowledge of manufacturing, supply chain, or IoT data environments
  • Experience with Informatica, Databricks, or streaming technologies (Kafka/Event Hub)
  • Understanding of data governance frameworks and data quality tools
  • Exposure to Power BI or modern BI tools

Key Competencies
  • Strong problem-solving and analytical thinking
  • Ability to balance speed, quality, and scalability in delivery
  • Excellent communication skills across technical and business audiences
  • Ownership mindset with focus on measurable outcomes and ROI

Why ADS
  • Opportunity to help build a modern, AI-enabled data platform from the ground up
  • Direct impact on manufacturing optimization, product innovation, and customer insights
  • Work with a growing Enterprise Analytics team driving enterprise-wide transformation

Success Metrics (First 12 Months)
  • Delivery of production-ready pipelines supporting key business domains
  • Reduction in data latency and improvement in data quality
  • Enablement of at least 2-3 high-value AI/analytics use cases
  • Contribution to platform modernization milestones

#LI-CH1
#LI-Hybrid
Company Benefits:
Health & Welfare Benefits: Medical and prescription drug plans, telemedicine (with medical plan), High-Deductible Health Plan (HDHP) and Health Savings Account (HSA), dental and vision plans, virtual physical therapy*, an employee assistance program (EAP)*, and voluntary accident, critical illness, and hospital indemnification programs.
Financial Benefits: Retirement 401k program with company match, an employee stock purchase plan (voluntary), financial wellness planning*, paid parental leave*, flexible spending accounts (FSA) for child care and health care, short-term and long-term disability*, basic life insurance, accidental death and dismemberment (AD&D)*, adoption financial reimbursement*, tuition reimbursement*, voluntary life insurance (for employees, spouses, and children), and voluntary identity theft and fraud protection.
*100% paid by ADS.
Why Join ADS?
Growth Opportunities & Global Presence: With a global network of approximately 70 manufacturing plants and 40 distribution centers, ADS offers extensive opportunities for career growth and development in various locations around the world.
Inclusive and Creative Work Culture: ADS fosters a culture of passion, innovation, and continuous improvement, empowering employees to shape industry-leading solutions. We value diverse perspectives, recognizing that they drive better ideas, processes, and performance. Our workplace is built on respect, inclusivity, and shared responsibility, ensuring every team member feels valued and contributes to our collective success.
Innovative & Sustainability Focused: Advanced Drainage Systems is one of the largest plastic recyclers in North America, ensuring over half a billion pounds of plastic is kept out of landfills every year.
Learn More: https://www.adspipe.com/about-us
EEO Statement
ADS supports an inclusive workplace that values diversity of thought, experience, and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. ADS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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