Data Analytics Engineer (Remote)

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 21, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
1099 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Secaucus, NJ
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🧠 - 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