

Data Analytics Engineer (Remote)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics Engineer (Remote) on a long-term contract, requiring strong expertise in Google Cloud Platform, BigQuery, Dataflow, Looker, and Python. Proven experience in data engineering and analytics is essential. Pay rate is unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 21, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
1099 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Secaucus, NJ
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π§ - Skills detailed
#Python #Data Processing #Data Engineering #Automation #BigQuery #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Scala #Visualization #Programming #Dataflow #Data Pipeline #Cloud #Looker #Data Quality #SQL (Structured Query Language)
Role description
Job Title: Data Analytics Engineer (C2C ok)
Location: Fully Remote (U.S.)
Type: Long-term Contract
Overview:
We are seeking a Data Analytics Engineer with strong experience in building and optimizing data pipelines, analytics solutions, and reporting systems in the cloud. The role requires hands-on expertise in modern data platforms and the ability to work closely with stakeholders to deliver actionable insights.
Key Skills:
β’ Proficiency in Google Cloud Platform (GCP) services
β’ Strong experience with BigQuery and Dataflow
β’ Expertise in Looker for data visualization and reporting
β’ Python for data processing, automation, and analytics
β’ Ability to design, implement, and optimize scalable data solutions
Responsibilities:
β’ Develop and maintain scalable data pipelines and analytics workflows
β’ Optimize query performance and ensure data quality in BigQuery
β’ Build dashboards and reports in Looker for business stakeholders
β’ Leverage Python and GCP tools for data transformation and automation
β’ Collaborate with cross-functional teams to support data-driven decision-making
Requirements:
β’ Proven experience in data engineering and analytics roles
β’ Hands-on expertise with GCP ecosystem (BigQuery, Dataflow, Looker)
β’ Strong SQL and Python programming skills
β’ Excellent problem-solving and communication skills
Job Title: Data Analytics Engineer (C2C ok)
Location: Fully Remote (U.S.)
Type: Long-term Contract
Overview:
We are seeking a Data Analytics Engineer with strong experience in building and optimizing data pipelines, analytics solutions, and reporting systems in the cloud. The role requires hands-on expertise in modern data platforms and the ability to work closely with stakeholders to deliver actionable insights.
Key Skills:
β’ Proficiency in Google Cloud Platform (GCP) services
β’ Strong experience with BigQuery and Dataflow
β’ Expertise in Looker for data visualization and reporting
β’ Python for data processing, automation, and analytics
β’ Ability to design, implement, and optimize scalable data solutions
Responsibilities:
β’ Develop and maintain scalable data pipelines and analytics workflows
β’ Optimize query performance and ensure data quality in BigQuery
β’ Build dashboards and reports in Looker for business stakeholders
β’ Leverage Python and GCP tools for data transformation and automation
β’ Collaborate with cross-functional teams to support data-driven decision-making
Requirements:
β’ Proven experience in data engineering and analytics roles
β’ Hands-on expertise with GCP ecosystem (BigQuery, Dataflow, Looker)
β’ Strong SQL and Python programming skills
β’ Excellent problem-solving and communication skills