Jobs / Adv***

Senior Data Engineer

Adv*** · Hilliard, OH, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
Hilliard, OH, United StatesHybrid
Remuneration
Not specified
Location
Hilliard, OH, United States
Visa sponsorship
Sponsors visa

Job summary

Overview: Adv*** 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.

Benefits

Health & WelfareFinancial100% paid by ADS.Why Join ADS?:We value diverse perspectives, recognizing that they drive better ideas, processLearn More: https://www.adspipe.com/about-usEEO Statement:ADS supports an inclusive workplace that values diversity of thought, experienceADS is an Equal Opportunity/Affirmative Action employer.

Qualifications

  • into scalable data solutions
  • Required
  • 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
  • Experience supporting AI/ML workflows or data science teams
  • Knowledge of manufacturing, supply chain, or IoT data environments
  • Experience with Informatica, Databricks, or streaming

Responsibilities

  • Adv*** (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.
  • Data Engineering & Platform Development
  • Design and build scalable ELT/ETL pipelines using cloud-native

Skills

Communication

Degrees

AssociateDegree

Industry

EnergyHealthcareInsuranceLogisticsManufacturingMediaPublic-sector

Company size

EnterpriseSmb

Contract length

12 months