TALENDICA
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with AI expertise in NYC, NY, for 12+ months at a pay rate of "X". Requires strong banking experience, proficiency in Python and PySpark, SQL, Snowflake, and excellent communication skills. No OPT/CPT/H1B visa.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
June 11, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
-
🧠 - Skills detailed
#Data Engineering #Deployment #Big Data #Datasets #DevOps #Security #Storage #Data Security #Data Analysis #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Libraries #Pandas #Data Pipeline #Version Control #AI (Artificial Intelligence) #Data Modeling #Python #Cloud #Snowflake #Azure #AWS (Amazon Web Services) #Computer Science #Data Extraction #Compliance #Data Architecture #Talend #Hadoop #Data Quality #SQL (Structured Query Language) #Kafka (Apache Kafka) #Scala #GCP (Google Cloud Platform) #Data Warehouse #Data Governance #NumPy #GIT #SQL Queries #Databases #PySpark #Data Science
Role description
Role: Data Engineer with AI Enabled
Job Location: NYC, NY
Duration: 12+ months
Visa Type:- No OPT/CPT/H1B
Linkedin 2020 or before
Strong comm. Skills
Min 14+ more, Strong banking background.
The Role
Responsibilities:
• Design, develop, and maintain robust data pipelines using Python and PySpark to process large datasets efficiently.
• Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) processes.
• Implement and manage data warehousing solutions using Snowflake.
• Deploy and monitor data applications and pipelines on OpenShift container orchestration platform.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, data security, and compliance with data governance standards.
• Automate data workflows to improve efficiency and scalability.
• Monitor and troubleshoot performance issues in data pipelines and storage systems.
• Document data architecture, pipelines, and processes clearly and comprehensively.
• Stay updated with emerging technologies and industry trends related to data engineering
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in Python, with hands-on experience using PySpark.
• Extensive experience working with SQL and relational databases.
• Hands-on experience with Snowflake data warehouse platform.
• Familiarity with container orchestration and cloud deployment using OpenShift.
• Knowledge of data modeling, ETL/ELT processes, and data architecture best practices.
• Experience with version control systems such as Git.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
Preferred, but not required:
• Experience with other cloud platforms (AWS, Azure, GCP).
• Knowledge of DevOps practices and CI/CD pipelines.
• Experience with Kafka, Hadoop, or other big data technologies.
• Familiarity with Python libraries for data analysis and processing (e.g., pandas, numpy).
Thanks & Regards,
Alok Kumar | TALENDICA
Sr. Technical Recruiter
44 Saratoga Lane, Monroe Township, NJ 08831
Role: Data Engineer with AI Enabled
Job Location: NYC, NY
Duration: 12+ months
Visa Type:- No OPT/CPT/H1B
Linkedin 2020 or before
Strong comm. Skills
Min 14+ more, Strong banking background.
The Role
Responsibilities:
• Design, develop, and maintain robust data pipelines using Python and PySpark to process large datasets efficiently.
• Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) processes.
• Implement and manage data warehousing solutions using Snowflake.
• Deploy and monitor data applications and pipelines on OpenShift container orchestration platform.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, data security, and compliance with data governance standards.
• Automate data workflows to improve efficiency and scalability.
• Monitor and troubleshoot performance issues in data pipelines and storage systems.
• Document data architecture, pipelines, and processes clearly and comprehensively.
• Stay updated with emerging technologies and industry trends related to data engineering
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in Python, with hands-on experience using PySpark.
• Extensive experience working with SQL and relational databases.
• Hands-on experience with Snowflake data warehouse platform.
• Familiarity with container orchestration and cloud deployment using OpenShift.
• Knowledge of data modeling, ETL/ELT processes, and data architecture best practices.
• Experience with version control systems such as Git.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
Preferred, but not required:
• Experience with other cloud platforms (AWS, Azure, GCP).
• Knowledge of DevOps practices and CI/CD pipelines.
• Experience with Kafka, Hadoop, or other big data technologies.
• Familiarity with Python libraries for data analysis and processing (e.g., pandas, numpy).
Thanks & Regards,
Alok Kumar | TALENDICA
Sr. Technical Recruiter
44 Saratoga Lane, Monroe Township, NJ 08831
