Remote Data Analytics Engineer: GCP, BigQuery & Looker

AppLab Systems, Inc

Princeton (NJ)

Remote

USD 110,000 - 140,000

Full time

4 days ago
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Job summary

APPLAB Systems in Secaucus, NJ (Remote) seeks a Data Analytics Engineer with deep GCP experience to design, build, and optimize scalable data pipelines using Dataflow, Dataform, and BigQuery. You will enable advanced analytics and reporting with Looker and Python, bridging data engineering and analytics to deliver reliable insights for stakeholders.

You will implement data modeling, CI/CD for data pipelines, ensure data quality and governance, and collaborate with data scientists, analysts, and

Qualifications

  • Must have strong GCP, BigQuery, Dataflow, Looker, and Python experience.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow and Dataform.
  • Implement data modeling, transformation, and orchestration best practices for analytics workflows.
  • Collaborate with data scientists, analysts, and business teams to deliver insights via Looker dashboards and reports.
  • Ensure data reliability, quality, and governance across multiple data sources.
  • Optimize BigQuery queries, partitions, and clustering for performance and cost efficiency.
  • Write Python scripts for automation, data processing, and API integration.
  • Implement CI/CD practices for data pipeline deployments.
  • Monitor, troubleshoot, and improve data infrastructure performance and reliability.
  • Document data models, pipelines, and dashboards for transparency and maintainability.

Skills

GCP
BigQuery
Dataflow
Looker
Python
ETL/ELT
Data modeling
CI/CD
Data quality

Tools

Dataform

Job description

APPLAB Systems in Secaucus, NJ (Remote) seeks a Data Analytics Engineer with deep GCP experience to design, build, and optimize scalable data pipelines using Dataflow, Dataform, and BigQuery. You will enable advanced analytics and reporting with Looker and Python, bridging data engineering and analytics to deliver reliable insights for stakeholders.

You will implement data modeling, CI/CD for data pipelines, ensure data quality and governance, and collaborate with data scientists, analysts, and

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