ZipRecruiter

Log In

1

Data Engineer Python Jobs in New York (NOW HIRING)

Data Intellect

Data Engineer - Python

New York, NY

$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 ...

Kunai

Senior Software Engineer - Python

New York, NY · On-site

NYC, New York - Onsite Work Required We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial ...

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 ...

AaraTechnologies Inc

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

next page

Showing results 1-20

People also search for

All JobsData Engineer Python JobsData Engineer Python Jobs in New York

Data Engineer Python information

See New York salary details

$25.2K

$153.1K

$221.5K

How much do data engineer python jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data engineer python in New York is $153,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $180,000.00 per year, depending on experience, location, and employer.

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.
More about Data Engineer Python jobs
What are the most commonly searched types of Data Engineer Python jobs in New York? The most popular types of Data Engineer Python jobs in New York are:
What are popular job titles related to Data Engineer Python jobs in New York? For Data Engineer Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Engineer Python jobs in New York look for? The top searched job categories for Data Engineer Python jobs in New York are:
Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in New York as of May 2026, with employment types broken down into 2% As Needed, 64% Full Time, 30% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $153,133 per year, or $73.6 per hour.

Data Engineer - Python

Data Intellect

New York, NY

$125K - $150K/yr

Full-time

Posted 28 days 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

Apply