Senior Data Engineer at Advanced Drainage Systems
Hilliard, OH
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Jul 6, 2026
Hilliard, OH
Jul 21, 2026
What this job asks for AI summary
A senior data engineering role focused on designing and building cloud-based data pipelines and platforms to support analytics, AI/ML, and IoT integration at a manufacturing company. The position involves constructing medallion-architecture data layers in tools like Snowflake, Azure, and Databricks, migrating away from legacy systems, and producing model-ready datasets for use cases such as predictive maintenance and demand forecasting. It suits engineers with solid SQL and Python skills and hands-on cloud data platform experience.
Senior level · 3+ years · Columbus, OH · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 15 people in the Columbus, OH area plausibly meet what this posting asks for (database architects). range 9–20
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,827 (middle half $115,056–$166,646).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting states '3–7+ years' of experience in data engineering; 3 years is used as the minimum.
The role is tagged '#LI-Hybrid', indicating a hybrid (not fully remote) work arrangement. No specific city is stated in the posting, but ADS is headquartered in Hilliard (Columbus metro), OH.
SOC classification is a close call: the role centers on designing and building data pipelines and a medallion-architecture data platform (15-1243 Database Architects), but the heavy Python/cloud engineering and AI-enablement work also fits Software Developers (15-1252). 15-1243 was chosen as the primary because data modeling, warehousing architecture, and pipeline design are the dominant day-to-day activities.
The required qualifications list 'cloud data platforms (Snowflake, Azure, or AWS)' as a single requirement with named alternatives; Snowflake and Azure are each also called out individually in the responsibilities narrative, so both are surfaced as required skills with the other options in their alternatives.
Databricks, Informatica, Kafka/Event Hub, Power BI, and SQL Server all appear exclusively under Preferred Qualifications or as legacy-migration context, so they are marked preferred.
No compensation figures are provided in the posting.
Read the full posting
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