

Senior GCP Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior GCP Data Engineer in NYC, with a contract to hire option. Requires 5+ years in data engineering, proficiency in GCP, SQL, and Python, plus U.S. citizenship for security clearance. 15-20% onsite work expected.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
600
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ποΈ - Date discovered
July 23, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Yes
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π - Location detailed
New York City Metropolitan Area
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π§ - Skills detailed
#Data Architecture #PySpark #Security #BigQuery #Data Integration #Data Engineering #Data Science #Strategy #Cloud #BI (Business Intelligence) #Python #Business Analysis #Data Modeling #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Data Governance #Database Management #NoSQL #Databases #SQL (Structured Query Language) #Programming #GCP (Google Cloud Platform)
Role description
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Job Title: GCP - Senior Data Engineer
Location: NYC, New York (15-20% Onsite)
Duration: Contract to hire or Perm (Both options Open)
Due to the nature of the work and federal contract requirements, candidates must be U.S. citizens and willing to undergo a government security clearance process.
We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All employment is decided based on qualifications, merit, and business need.
Job Description
GCP DE - looking a strong/hands on GCP candidate who is used to working in sprints.
ResponsabilitΓ©s :
β’ Work closely with data scientists, data architects, business analysts, and other disciplines to understand data requirements and deliver accurate data solutions.
β’ Analyze and document existing data system processes to identify opportunities for improvement.
β’ Develop detailed process maps that describe data flow and integration across multiple systems.
β’ Create a catalog of data fields and data structures across various databases and systems.
β’ Compare data fields and structures to identify inconsistencies and discrepancies
β’ Contribute towards gap analysis and recommend solutions for standardizing data fields and structures.
β’ Recommend data directories to organize and manage data assets effectively.
β’ Propose data standards and best practices.
Qualifications:
Technical skills
β’ Proven experience (5+ years) in data engineering.
β’ Proficiency in database management systems (e.g., SQL, NoSQL databases).
β’ Experience with data warehousing and ETL (Extract, Transform, Load) processes.
β’ Hands-on experience working with cloud data platforms, with a strong preference for Google Cloud Platform (GCP) tools like BigQuery, Cloud Functions, and Dataproc.
β’ Skilled in Python programming with working knowledge of Pyspark.
β’ Experience developing ELT processes within a medallion architecture (Bronze, Silver, Gold layers).
β’ Skilled in designing robust data validation and transformation processes to support downstream BI and analytics tools.
β’ Knowledge of data modeling, data architecture, and data integration techniques.
Analytical skills
β’ Strong problem-solving skills with attention to detail.
β’ Experience in process mapping and optimization.
β’ Understanding of data governance frameworks and practices.
β’ Excellent verbal/written communication and presentation skills, with the ability to successfully articulate your work and its intent to your team and your client
β’ A unique point of view. You are trusted to question approaches, processes, and strategy to better serve your team.