Remote Data Engineer — Cloud Pipelines & Governance

Collegis Education

Oak Brook (IL)

Hybrid

USD 95,000 - 130,000

Full time

2 days ago
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Job summary

Collegis Education seeks a Data Engineer to design, build, and maintain cloud-native data integration and transformation pipelines, leveraging Apache Beam, Google Cloud Data Fusion, dbt, and serverless functions. You will ensure data quality and governance while delivering scalable data solutions.

You will collaborate with cross-functional teams to integrate new data sources, support data security, and contribute to DevOps practices within modern data architectures such as data warehouse, data

Qualifications

  • Bachelor's or Master's degree in a related field or equivalent experience.
  • Relevant certifications in data engineering or cloud computing preferred (GCP).
  • 2–5 years of data engineering experience required.

Responsibilities

  • Design, develop and maintain data integration and transformation solutions using cloud-native tools.
  • Build and run scalable data pipelines with cloud orchestration approaches.
  • Ensure data quality and governance through processes and workflows.
  • Collaborate with cross-functional teams to ingest new data sources and ensure security standards.
  • Lead technical partner engagements and engage in data steward activities.

Skills

Advanced SQL
Bash
Python
Terraform

Education

Bachelor's/Master's in MIS/IS/Business Analytics/CS
GCP certification preferred

Tools

Apache Beam
Google Cloud Data Fusion
dbt
Serverless functions
Cloud-native data storage
Cloud data warehouse
Data lake
Lakehouse

Job description

Collegis Education seeks a Data Engineer to design, build, and maintain cloud-native data integration and transformation pipelines, leveraging Apache Beam, Google Cloud Data Fusion, dbt, and serverless functions. You will ensure data quality and governance while delivering scalable data solutions.

You will collaborate with cross-functional teams to integrate new data sources, support data security, and contribute to DevOps practices within modern data architectures such as data warehouse, data

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