IT Data Engineer in Hilliard, Ohio at Advanced Drainage Systems

Advanced Drainage Systems

EEO Statement:

Advanced Drainage Systems is proud to be an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
IT Data Engineer

US-OH-Hilliard

Job ID: 2026-21834
Type: Regular Full-Time
# of Openings: 1
Category: Information Technology
Advanced Drainage Systems

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 a Data Engineer to build and support modern data pipelines and AI-ready data platforms that improve operational visibility, manufacturing insights, and enterprise analytics.

This role will contribute to ADS’s data modernization initiative by developing reliable, scalable data assets in partnership with senior engineers, analytics teams, and business stakeholders. The ideal candidate has strong data engineering fundamentals, hands-on experience with SQL and Python, and an interest in supporting AI/ML, IoT data integration, and enterprise reporting use cases.

Key Responsibilities

Data Engineering & Platform Development

• Build and enhance scalable ELT/ETL pipelines using cloud-native technologies such as Snowflake, Azure, or Databricks
• Develop and maintain bronze/silver/gold data layers (medallion architecture) under established design patterns 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
• Follow established architecture patterns that enable scalable and reusable data products

Data Governance, Security & Quality

• Apply data governance standards, lineage, and metadata management within assigned work
• 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, Information Systems, or related field
• 1–4 years of experience in data engineering, data integration, analytics engineering, or data platform development
• Strong proficiency in SQL and Python
• Experience or working knowledge of cloud data platforms (Snowflake, Azure, Databricks, or AWS)
• Experience building ETL/ELT pipelines and data models
• Familiarity with data warehousing concepts, dimensional modeling, and modern data architecture patterns

Preferred Qualifications

• Exposure to AI/ML workflows or data science teams
• Knowledge of manufacturing, supply chain, or IoT data environments
• Exposure to 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, curiosity, and analytical thinking
• Ability to deliver quality work while learning scalable engineering practices
• Excellent communication skills across technical and business audiences
• Ownership mindset with focus on continuous improvement and reliable delivery

Leadership Competencies
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.

EEO StatementADS 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.