Healthcare Domain Data Analyst || Remote work

AppLab Systems, Inc; Princeton (NJ); Remote; USD 110,000 - 140,000; Full time

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

Job Details

We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.

Job Role - Data Analytics Engineer

Location - Secaucus, NJ(Remote)

Mode - Contract || Long Term

Job Details

We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.

Must Have - GCP, BigQuery, Dataflow, Looker, and Python

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery.
• 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 integration with APIs.
• Implement CI/CD practices for data pipeline deployments.
• Monitor, troubleshoot, and improve data infrastructure performance and reliability.
• Document data models, pipelines, and dashboards to ensure transparency and maintainability.

Thanks and Regards

Saurav Kumar

APPLAB Systems

[e-mail]

609-629-2048 Ext - 551

4365 Route 1 South, Suite 105

Princeton, NJ -08540

www.applabsystems.com