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

Data Engineer - Python

New York, NY · On-site

$125K - $150K/yr

Minimum 3+ years Python experience in Data Science and Engineering * Experience with Kubernetes, Apache Airflow, Pandas, Polars * In-depth of knowledge across data science and engineering and ...

Data Engineer - Python

New York, NY · On-site

$125K - $150K/yr

Minimum 3+ years Python experience in Data Science and Engineering * Experience with Kubernetes, Apache Airflow, Pandas, Polars * In-depth of knowledge across data science and engineering and ...

Data Engineer - Python

New York, NY · On-site

$125K - $150K/yr

Minimum 3+ years Python experience in Data Science and Engineering * Experience with Kubernetes, Apache Airflow, Pandas, Polars * In-depth of knowledge across data science and engineering and ...

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 ...

DATA ENGINEER

Jersey City, NJ

$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 ...

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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 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

Data Intellect

New York, NY • On-site

$125K - $150K/yr

Full-time

Posted 21 hours ago


Job description

Company Description

At Data Intellect it has never been just about data or technology, they are our tools. It's about human intellect, collaboration and providing solutions for the most complex of challenges.

We do this by living the [DI] code:

We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness.

"We are not big on egos, but we're not for the faint-hearted either" - Steve Turner, CEO

Job Description

What you'll be doing:

  • Implement, configure and evolve SaaS data products within client environments, taking solutions from initial onboarding through to longterm adoption and optimisation
  • Own the technical delivery of SaaS implementations, ensuring products are robustly integrated into client data platforms, workflows and operating models
  • Work on longrunning client engagements, developing a deep understanding of client needs and acting as a trusted technical partner over time
  • Design and implement integration patterns, data pipelines and solution architectures that enable SaaS products to scale effectively for each client
  • Deliver highquality, productionready solutions, balancing product constraints with clientspecific requirements and best practice engineering standards
  • Collaborate closely with product, engineering and client stakeholders to influence roadmaps, enhancements and implementation approaches
  • Provide technical leadership and mentoring to junior team members, including guidance on SaaS delivery patterns, integration approaches and good engineering practices
  • Contribute to and help shape our learning & development ecosystem, sharing implementation learnings, patterns and reusable assets across teams
  • Identify and recommend improvements to product usage, configuration or architecture based on realworld client exposure
  • Produce clean, maintainable and welldocumented solutions aligned to product standards and client specifications
  • Continue to build your own capability through handson delivery, certification and exposure to multiple clients and industries
Qualifications

Qualifications

Experience and skills required:

  • Minimum 3+ years Python experience in Data Science and Engineering 
  • Experience with Kubernetes, Apache Airflow, Pandas, Polars
  • In-depth of knowledge across data science and engineering and software delivery
  • Development and delivery experience of data-driven applications and solutions
  • Capable of task estimation, proactive and autonomous 
  • Solid knowledge of SDLC, agile and appropriate tooling 
  • Breadth of L3 support experience 
  • Excellent communication skills across peers, leadership and clients; both business and technical 
Additional Information

What we offer: 

  • Flexible working - we offer hybrid working so our people can achieve that elusive work/life balance.
  • Healthcare cover - provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health
  • Regular social events, prizes and giveaways - our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness

A little background on DI

Simply put - we turn big data problems into smart data solutions

At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.

This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.

Fair employment and equal opportunities

Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.

Welcome to Data Intellect.

#ChallengeAccepted