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Trainee Data Engineer Python Jobs in New York (NOW HIRING)

Lead Python Data Engineer Job Location: Rahway, NJ / WestPoint, PA Job Type: Contract Job Overview: Pay Range: $70hr - $75hr Requirement/Must Have: * 10+ years of hands-on professional software ...

New

GCP Data Engineer with Python Location: NYC, NY onsite Duration: Long Term Job Summary Seeking a Specialist with 5 to 7 years of experience in Python and GCP Bigtable to design develop and optimize ...

Implement and manage AWS services to support data engineering tasks. * Design and integrate REST ... Python. * AWS DevOps. * Databricks. * DBT. * Apache Airflow. * REST API design. * SQL.

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DATA ENGINEER

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... Write SQL queries and basic Python scripts * Assist with data ingestion and transformation

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications: Bachelor's degree in computer science, Engineering, Information Technology ...

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications: Bachelor's degree in computer science, Engineering, Information Technology ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Python, SQL, Snowflake, Pandas, Azure ADF ETL, Data pipelines Behavioral Competencies: Good ... Engineering, or a related field. 3+ years of experience in data engineering, with a strong ...

DATA ENGINEER

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer - Retail & E-Commerce (2-3 Years Experience) About the Role We are seeking a Data ... Write SQL queries and basic Python scripts * Assist with data ingestion and transformation

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Trainee Data Engineer Python information

What is the difference between Trainee Data Engineer Python vs Data Analyst?

AspectTrainee Data Engineer PythonData Analyst
Required SkillsPython, SQL, basic data engineering conceptsExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness units, reporting teams
CertificationsPython certifications, data engineering coursesExcel, Tableau, Power BI certifications
Industry UsageBuilding data pipelines, ETL processesData analysis, reporting, insights

While both roles involve working with data, a Trainee Data Engineer Python focuses on developing data pipelines and infrastructure using Python, whereas a Data Analyst primarily interprets data to generate reports and insights. The former requires programming skills and knowledge of data engineering tools, while the latter emphasizes data visualization and business understanding.

What are popular job titles related to Trainee Data Engineer Python jobs in New York? For Trainee Data Engineer Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Trainee Data Engineer Python jobs in New York look for? The top searched job categories for Trainee Data Engineer Python jobs in New York are:
What cities in New York are hiring for Trainee Data Engineer Python jobs? Cities in New York with the most Trainee Data Engineer Python job openings:

Data Engineer - Python/PySpark

Futran Tech Solutions Pvt. Ltd.

Jersey City, NJ • On-site

$125K - $150K/yr

Full-time

Posted 8 days ago


Job description

Job Title: Data Engineer - Python/PySpark
Location: Jersey City, NJ (3 Days onsite/week)
Job Type: Full-time
Job Description:
  • 3-6 years of experience as a Data Engineer with strong Python and PySpark expertise.
  • Experience building scalable ETL/ELT pipelines in big data environments.
  • Strong understanding of KYC/AML and Client Onboarding domains.
  • Hands-on experience with Spark, Hadoop, Kafka, and cloud platforms.
  • Solid knowledge of SQL and NoSQL databases.

Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines.
  • Process large volumes of structured and unstructured data.
  • Implement KYC/AML data solutions supporting client lifecycle management.
  • Optimize Spark jobs for performance and reliability.
  • Collaborate with cross-functional agile teams and stakeholders