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

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Data Engineer (AWS & Python)

Newark, NJ · On-site

$119K - $143K/yr

Proven experience as a Data Engineer building production-grade data pipelines. * Python: Expert-level scripting and data manipulation skills (Pandas, PySpark, etc.). * AWS Ecosystem: Hands-on ...

MSR Cosmos

GCP Data Engineer with Python

New York, NY · On-site

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 ...

CYNET SYSTEMS

Lead Python Data Engineer

Rahway, NJ · On-site

$50 - $55/hr

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.

Noblesoft Technologies

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 ...

Noblesoft Technologies

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 ...

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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.

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Trainee Data Engineer Python jobs near you

Senior Data Engineer - Python

Cleartelligence

New York, NY • On-site

$100/hr

Full-time

Posted yesterday

New

Job description

We are seeking a highly experienced Senior Data Engineer with strong Python development skills to support a large-scale data migration initiative. This individual will build and maintain data ingestion pipelines that extract data from legacy and enterprise systems, transform it, and load it into SQL databases for downstream reporting and analytics.
The ideal candidate is a self-sufficient engineer who is comfortable working across APIs, databases, and ETL pipelines, with the ability to independently deliver high-quality solutions in a fast-paced environment.
Location is commutable to New York City with some onsite work in New York
Responsibilities
  • Design, develop, and maintain Python-based data ingestion and ETL pipelines.
  • Extract data from legacy/homegrown securities platforms, REST APIs, MySQL, PostgreSQL, Microsoft System Center, MDM tools, and similar enterprise systems.
  • Develop Python scripts to transform, validate, and load data into MySQL and PostgreSQL databases.
  • Support migration of existing data feeds into a new environment while ensuring data quality and reliability.
  • Monitor, troubleshoot, and optimize data pipelines.
  • Collaborate with engineering and business stakeholders to implement scalable data solutions.
  • Document data flows, processes, and technical solutions.
Required Qualifications
  • 7+ years of Data Engineering and Python development experience.
  • Expert-level Python programming.
  • Strong ETL/data ingestion pipeline experience.
  • Experience with APIs, MySQL, and PostgreSQL.
  • Strong SQL skills.
  • Experience using Git/GitHub.
  • Ability to work independently with minimal oversight.
  • Strong analytical and troubleshooting skills.
Preferred Qualifications
  • Data modeling or data warehouse experience.
  • Financial services or securities data experience.
  • Experience with enterprise infrastructure management systems.
  • Experience supporting large-scale data migration initiatives.
  • Exposure to enterprise scheduling/orchestration tools.
What We're Looking For
  • Senior-level engineer capable of owning data ingestion pipelines end-to-end, from extracting data from legacy systems through transforming and loading it into modern SQL environments with minimal supervision.
Nice-to-Have Skills
  • Data modeling and dimensional modeling
  • Data warehouse architecture
  • Financial services experience

The anticipated hourly rate for this role is up to $100 per hour or between $120,000 - $160,000 annually. Final pay rate will be determined based on experience, qualifications and geographic location
It is our policy to provide and promote equal employment opportunity to all employees and applicants for employment following all local, state, and federal laws and regulations governing personnel activities. Under federal guidelines we are committed to a program of affirmative action for work sites in the United States.

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