Top 108 Lead software engineer big data python /java , databricks Jobs in Dublin, Oh

Senior Data Engineer
Advanced Drainage Systems —Hilliard, OH
- Full-time
- Hybrid work
- Azure
- Computer Science
- Physical & Rehabilitation Medicine
- Paid parental leave
- Health savings account
Lead Agentic AI Engineer-US Remote - US-OH,Columbus
Hexion Inc. —Columbus, OH
- Remote
- 18 years or older
- Computer Science
- Inventory management
Sr Databricks Data Engineer
Deloitte —Columbus, OH
- $116,200 - $229,100 a year
- Full-time
- Azure
- Management
- Computer Science
Lead Software Engineer - SAP - BTP AI Developer
JPMorganChase —Columbus, OH
- $137,750 - $185,000 a year
- Full-time
- 5 years
- Senior level
- Health insurance
- Tuition reimbursement
AI Engineer
Fiserv —Columbus, OH
- $109,000 - $182,400 a year
- Full-time
- Computer Science
- Office
- US work authorization
- Employee stock purchase plan
- Paid holidays
Data Architect, Lead
FlightSafety International —Columbus, OH
- Computer Science
- 5 years
- System design
Senior Data Analyst, Investment Professional
Nationwide —Columbus, OH
- 8 hour shift
- Hybrid work
- Computer Science
- Office
- 8 years
- Paid holidays
- Disability insurance
Sr. AI Engineer - Forward Deployed Engineer Manager· Databricks · Reinvention Centers
Accenture —Columbus, OH
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Office
- Java
- US work authorization
- Paid holidays
- Disability insurance
Lead Software Engineer - Ab Initio
JPMorganChase —Columbus, OH
- Full-time
- Software troubleshooting
- 5 years
- Java
- Health insurance
- Tuition reimbursement
Senior Forward Deployed Engineer - Databricks
Deloitte —Columbus, OH
- $155,600 - $306,800 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Software Development Manager
Capital Group Companies —London, OH
- Full-time
- AWS
- Bachelor's degree
- Product management
- Benefits from day one
- Retirement plan
AI Engineer - Forward Deployed Engineer Associate Manager · Databricks · Reinvention Centers
Accenture —Columbus, OH
- $68,300 - $261,500 a year
- Full-time
- Hybrid work
- Azure
- Office
- Java
- Paid holidays
- Disability insurance
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Deloitte —Columbus, OH
- $134,500 - $265,100 a year
- Full-time
- Computer science
- Azure
- Computer Science
Cyber AI Data Engineer Senior Consultant
Deloitte —Columbus, OH
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
Business Insights & Analytics, Director
FlightSafety International —Columbus, OH
- Office
- Finance
- Master's degree
Data Architecture/Data Fabric Senior Manager - Utilities
Accenture —Columbus, OH
- $122,700 - $338,300 a year
- Full-time
- Hybrid work
- Master's degree
- Travel
- US work authorization
- Paid holidays
- Disability insurance
AVP, Data Engineering and AI Innovation
Safelite Group —Columbus, OH
- Full-time
- Computer Science
- SQL
- US work authorization
Senior Solution Architect, OptiFreight Logistics
Cardinal Health —Dublin, OH
- $123,400 - $176,300 a year
- Azure
- Java
- 8 years
- Paid parental leave
- Health savings account
Senior Credit Quantitative Analyst, Investment Professional
Nationwide —Columbus, OH
- 8 hour shift
- Hybrid work
- Computer Science
- Office
- Finance
- Paid holidays
- Disability insurance
Sr. Manager Data Science
The Scotts Miracle-Gro Company —Marysville, OH
- $175,700 - $206,700 a year
- Full-time
- Management
- Analysis skills
- Supervising experience
- Health insurance
- Dental insurance

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lead software engineer big data python /java , databricks jobs near dublin, oh

Senior Data Engineer

Advanced Drainage Systems -
Hilliard, OH

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Job Details

Full-time

Benefits

Paid parental leave
Health savings account
AD&D insurance
Employee stock purchase plan
Disability insurance
Health insurance
Dental insurance
Flexible spending account
Tuition reimbursement
Parental leave
Employee assistance program
Vision insurance
401(k) matching
Life insurance

Qualifications

Data model design
Commercial use (data warehousing systems)
Cloud data warehouses
Data modeling projects
SQL
ETL process automation
Python
Database software proficiency

Full 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.

Apply Now

Refine Your Search

lead software engineer big data python /java , databricks jobs in dublin, oh

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AVP, Data Engineering and AI Innovation

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