Data Analytics Engineer

Job Description

Job Title: Data Analytics Engineer – GCP | BigQuery | Dataflow | Looker | Python

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Location: Secaucus, NJ (Remote)

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Employment Type: Contract

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Visa: USC & GC Only

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We are seeking an experienced Data Analytics Engineer with strong hands-on experience in Google Cloud Platform (GCP), BigQuery, Dataflow, Looker, and Python to design, develop, and optimize scalable data pipelines and analytics solutions.

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The ideal candidate will have a strong combination of data engineering and analytics expertise, with experience building reliable ETL/ELT pipelines, developing data models, optimizing BigQuery, and delivering actionable insights through Looker dashboards and reports.

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Key Responsibilities

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• Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery.
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• Develop data models, transformations, and analytics workflows.
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• Collaborate with data scientists, analysts, and business stakeholders to deliver insights through Looker dashboards and reports.
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• Ensure data quality, reliability, governance, and consistency across multiple data sources.
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• Optimize BigQuery queries, partitions, and clustering for performance and cost efficiency.
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• Develop Python scripts for automation, data processing, and API integrations.
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• Implement CI/CD practices for data pipeline deployments.
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• Monitor, troubleshoot, and improve data infrastructure performance and reliability.
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• Document data models, pipelines, dashboards, and technical processes.
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• Work closely with cross-functional teams to support data-driven business initiatives.
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Required Skills & Experience

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• 6–10 years of overall Data Analytics Engineering experience.
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• Strong hands-on experience with Google Cloud Platform (GCP).
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• Strong experience with BigQuery.
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• Hands-on experience with Dataflow.
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• Experience developing dashboards and reporting solutions using Looker.
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• Strong programming experience with Python.
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• Experience with ETL/ELT pipeline development.
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• Strong understanding of data modeling and data transformation.
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• Experience with data quality, governance, monitoring, and troubleshooting.
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• Experience optimizing BigQuery queries, partitioning, and clustering.
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• Strong communication and collaboration skills.
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Preferred Qualifications

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• Experience with Dataform.
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• Experience with CI/CD for data engineering projects.
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• Experience with API integrations and automation.
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• Experience with cloud-based data engineering environments.
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• Experience working with data scientists, analysts, and business stakeholders.
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• Experience with enterprise-scale data platforms and analytics solutions.
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If you have strong experience with GCP, BigQuery, Dataflow, Looker, and Python and are interested in a remote Data Analytics Engineer opportunity, we'd love to connect with you. Apply today!

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