What are the responsibilities and job description for the Data Engineer- onsite in Pittsburgh, PA position at A.C. Coy?
Overview
Location: Onsite in Pittsburgh, PA
Job Type: Full Time/Permanent
Work Authorization: No Sponsorship
The A.C.Coy Company has an immediate need for a Data Engineer. In this role, you will architect, build, and own this transformation end-to-end.
Responsibilities
You will be the founding data engineer on this initiative. You will design and implement pipelines that unify data from 7 operational source systems
- Design, build and operate reliable ELT ingestion pipelines using Airbyte / Fivetran or similar to pull data from all 7 operational sources into Snowflake Bronze on a nightly schedule
- Build and maintain dbt staging models (Silver layer) that clean, deduplicate, and standardise data from all 7 sources into consistent schemas
- Establish and enforce data contracts for each source domain — agreed schemas, null rates, acceptable value ranges, and freshness SLAs
- Design and maintain the internal operational database
- Build and maintain FastAPI endpoints that serve Snowflake Gold data to our internal React application — customer views, pipeline dashboards, inventory risk, margin reports
- Collaborate with the engineering team to decouple legacy Azure SQL Managed Instance dependencies and migrate data to the new Snowflake-native environment
- Own the end-to-end dashboard layer: from Gold model design through to published, production-grade dashboards consumed by executive and operational stakeholders
Qualifications
Education: Degree required- if no degree, then 7 years’ of experience
This is a high-ownership, high-impact role. You will work directly with engineering and business leadership to define the data strategy, not just execute tasks.
- 3- 5 years of experience as a Data Engineer with the following:
- Snowflake
- Deep hands-on experience with schema design, warehouse sizing, clustering, time travel, and cost management.
- dbt core
- Production experience with modular models, macros, packages, and incremental materialization.
- ELT
- Experience configuring and operating Airbyte / Fivetran or similar (or equivalent) for multi-source ingestion
- Data Warehouse/Data Lakes
- Azure/Cloud
- Practical experience with Azure SQL Managed Instance, Storage, and DevOps pipelines
- Python
- Strong Python for Data Sync Jobs, API clients, and FastAPI development
- Reporting- Tableau or PowerBI
- Snowflake