Data Engineer- onsite in Pittsburgh, PA (CANDIDATES MUST LIVE IN PITTSBURGH)

ACCAVALLO & COMPANY LLC
Pittsburgh, PA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Microsoft Azure Cloud Computing Cluster Analysis Data Migration Data Warehousing Python (Programming Language) SQL Azure Operational Databases Power BI Tableau (Software) Macros
+7 more
Data Ingestion ReactJS Delivery Pipeline Snowflake Data Strategy Fastapi Data Lakes

Job description

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, 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.

Requirements

Education: Degree required- if no degree, then 7+ years’ of experience, * 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

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

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