Senior Data Engineer
Advanced Drainage Systems•Hilliard, OH
•Hybrid
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
- 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
- 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
- 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
- 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
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
- Employee assistance program (EAP)
- Voluntary accident, critical illness, and hospital indemnification programs
- Retirement 401k program with company match
- 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)
- Voluntary identity theft and fraud protection
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
