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# Data Analytics Engineer - Remote / Telecommute

- **Company:** CYNET SYSTEMS INC.
- **Location:** Secaucus, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $93,600.0 - $104,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, BigQuery, Continuous Integration, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Document-Oriented Databases, Data Flow Control, Python (Programming Language), Data Processing, Scripting, Google Cloud, Looker Analytics, Data Pipelines, Api Management
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/77d3880c-88eb-48cb-a5e6-efa125eaa160

## About the Role

* 8+ years of experience in data engineering or analytics roles.
 * Strong experience with Google Cloud Platform (Google Cloud Platform).
 * Expertise in Big Query, Dataflow, and Dataform.
 * Proficiency in Looker for dashboards and reporting.
 * Strong Python scripting skills for automation and data processing.
 * Experience with ETL/ELT pipeline design and maintenance.
 * Knowledge of CI/CD practices for data pipeline deployments.
 * Experience with API integrations., * Strong verbal and written communication skills.

## Description

* Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and Big Query.
 * 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 Big Query 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.

Skills:

 * Google Cloud Platform.
 * Big Query.
 * Dataflow.
 * Looker.
 * Python.
 * Dataform.
 * ETL/ELT.
 * Data Modeling.


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