Parts Town
Data Engineer - Pipelines and Platform (On-site Work Schedule)
Parts Town, Chicago, Illinois, United States
Data Engineer – Pipelines & Platform (On-site Work Schedule)
Join to apply for the
Data Engineer – Pipelines & Platform (On-site Work Schedule)
role at
Parts Town
About the Company
As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That’s key. But we’re also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list!
Responsibilities
Design, build, and maintain ETL/ELT pipelines on GCP using Dataflow, Dataproc, or Cloud Data Fusion.
Manage workflow orchestration with Cloud Composer (Airflow) for scheduling, retries, and monitoring.
Optimize data ingestion from SAP, Salesforce, eCommerce, and WMS into BigQuery.
Implement Pub/Sub streaming pipelines for near real‑time use cases.
Develop and manage bronze/silver layers (raw + cleansed) with best practices for schema design and partitioning.
Implement data quality frameworks (Great Expectations, dbt tests, or custom Python checks) with automated alerts.
Automate CI/CD for data pipelines using Cloud Build or GitHub Actions.
Monitor cost/performance of pipelines with Cloud Monitoring & Logging.
Document pipeline architecture and maintain data lineage via Dataplex or Collibra integration.
Qualifications
4+ years of experience in data engineering, ideally with GCP as the primary cloud.
Deep expertise with BigQuery, Dataflow, Cloud Composer, and Pub/Sub.
Proficient in SQL and Python.
Hands‑on experience with dbt for data transformations.
Familiar with Terraform (or Deployment Manager) for IaC.
Experience designing scalable ingestion frameworks from ERP/CRM/WMS/eCommerce.
Strong knowledge of security, IAM, and compliance in cloud data environments.
Excellent communicator, proficient in English (written and verbal).
Quality, high speed internet connection at home.
Benefits
Parts Town Pride – virtual tour and culture.
Quarterly profit‑sharing bonus.
Hybrid work schedule.
Team member appreciation events and recognition programs.
Volunteer opportunities.
Monthly IT stipend.
Casual dress code.
On‑demand pay options: Access your pay as you earn it.
Health insurance, 401k with match, employee assistance programs and time away.
Salary $118,679.40 – 137,799.97
EEO Statement Parts Town welcomes diversity and is an equal opportunity employer. All qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.
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Data Engineer – Pipelines & Platform (On-site Work Schedule)
role at
Parts Town
About the Company
As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That’s key. But we’re also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list!
Responsibilities
Design, build, and maintain ETL/ELT pipelines on GCP using Dataflow, Dataproc, or Cloud Data Fusion.
Manage workflow orchestration with Cloud Composer (Airflow) for scheduling, retries, and monitoring.
Optimize data ingestion from SAP, Salesforce, eCommerce, and WMS into BigQuery.
Implement Pub/Sub streaming pipelines for near real‑time use cases.
Develop and manage bronze/silver layers (raw + cleansed) with best practices for schema design and partitioning.
Implement data quality frameworks (Great Expectations, dbt tests, or custom Python checks) with automated alerts.
Automate CI/CD for data pipelines using Cloud Build or GitHub Actions.
Monitor cost/performance of pipelines with Cloud Monitoring & Logging.
Document pipeline architecture and maintain data lineage via Dataplex or Collibra integration.
Qualifications
4+ years of experience in data engineering, ideally with GCP as the primary cloud.
Deep expertise with BigQuery, Dataflow, Cloud Composer, and Pub/Sub.
Proficient in SQL and Python.
Hands‑on experience with dbt for data transformations.
Familiar with Terraform (or Deployment Manager) for IaC.
Experience designing scalable ingestion frameworks from ERP/CRM/WMS/eCommerce.
Strong knowledge of security, IAM, and compliance in cloud data environments.
Excellent communicator, proficient in English (written and verbal).
Quality, high speed internet connection at home.
Benefits
Parts Town Pride – virtual tour and culture.
Quarterly profit‑sharing bonus.
Hybrid work schedule.
Team member appreciation events and recognition programs.
Volunteer opportunities.
Monthly IT stipend.
Casual dress code.
On‑demand pay options: Access your pay as you earn it.
Health insurance, 401k with match, employee assistance programs and time away.
Salary $118,679.40 – 137,799.97
EEO Statement Parts Town welcomes diversity and is an equal opportunity employer. All qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.
#J-18808-Ljbffr