ZipRecruiter

Log In

1

Summer Data Engineer Jobs in New York (NOW HIRING)

Mondo

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

The start date is ASAP (targeting end of summer) for this long-term contract-to-hire position. Job Title: Data Engineer (AVP Level) Location-Type: Hybrid (3 days/week onsite in NYC, must be local ...

David Yurman

Data Engineer

Manhattan, NY · On-site

$140 - $150/hr

The Data Management & Engineering (DME) team at David Yurman (DY) is responsible to design ... Summer Fridays (corporate roles), generous paid time off, sick time, and mor**Diversity, Equity ...

David Yurman

Data Engineer

New York, NY · On-site

$140K - $150K/yr

We are looking for a dynamic Data Engineer to design and build data integration solutions to ... Summer Fridays (corporate roles), generous paid time off, sick time, and mor Diversity, Equity ...

David Yurman

Data Engineer

New York, NY · Hybrid

$140K - $150K/yr

We are looking for a dynamic Data Engineer to design and build data integration solutions to ... Summer Fridays (corporate roles), generous paid time off, sick time, and mor Diversity, Equity ...

Throtle

Big Data Engineer

Red Bank, NJ · On-site

$130K - $146K/yr

... a Big Data Developer. In this role, you will be part of the team that is responsible for ... Half Day Summer Fridays (close at 1 p.m. Memorial Day to Labor Day). * Early Fridays (office closes ...

next page

Showing results 1-20

All JobsSummer Data Engineer JobsSummer Data Engineer Jobs in New York

Summer Data Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do summer data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for summer data engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a summer data engineer?

A Summer Data Engineer is a seasonal or internship role focused on assisting data engineering teams with tasks like data pipeline development, ETL processes, and database management. This role typically involves working with programming languages such as Python or SQL, cloud platforms, and data processing frameworks. Summer Data Engineers help ensure that data is efficiently collected, stored, and accessible for analysis. The position provides hands-on experience in data infrastructure and is ideal for students or early-career professionals looking to gain industry experience.

What kinds of projects or tasks does a summer data engineer typically work on during an internship?

Summer Data Engineers are often assigned to real-world projects such as building data pipelines, cleaning and transforming datasets, and supporting analytics initiatives within their teams. They may collaborate with data scientists, software engineers, and business analysts to ensure data is accessible, reliable, and well-documented for analysis or reporting. Weekly responsibilities can include writing SQL queries, developing ETL (Extract, Transform, Load) processes, and participating in regular team meetings or code reviews. This hands-on experience provides valuable exposure to industry-standard tools and practices, helping interns build a strong foundation for future data engineering roles.

What are the key skills and qualifications needed to thrive as a summer data engineer, and why are they important?

To thrive as a Summer Data Engineer, you need a solid understanding of programming languages (such as Python or SQL), data structures, and data processing concepts, typically supported by ongoing or completed coursework in computer science, statistics, or related fields. Familiarity with data engineering tools like Apache Spark, Hadoop, and cloud platforms (e.g., AWS or Azure) is often expected, as are internships, workshops, or relevant technical certifications. Strong problem-solving abilities, willingness to learn, effective communication skills, and teamwork help set applicants apart. These competencies enable you to efficiently support data-driven projects, collaborate with cross-functional teams, and contribute meaningfully during a short-term internship or seasonal assignment.

What are the most commonly searched types of Data Engineer jobs in New York?

The most popular types of Data Engineer jobs in New York are:

What are popular job titles related to Summer Data Engineer jobs in New York?

For Summer Data Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Summer Data Engineer jobs in New York look for?

The top searched job categories for Summer Data Engineer jobs in New York are:

What cities in New York are hiring for Summer Data Engineer jobs?

Cities in New York with the most Summer Data Engineer job openings:

Summer Data Engineer jobs near you
Infographic showing various Summer Data Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Data Engineer

Mondo

Manhattan, NY • On-site

$75 - $82/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description

Apply now: Data Engineer (AVP Level), location is Hybrid (3 days/week onsite in NYC). The start date is ASAP (targeting end of summer) for this long-term contract-to-hire position.

Job Title: Data Engineer (AVP Level)Location-Type: Hybrid (3 days/week onsite in NYC, must be local)This position is not open to relocation at this timeStart Date Is: ASAP (targeting end of summer)Duration: Long-Term Contract-to-HireCompensation Range: $75-82/hr W2Benefits: Eligible for Health, Dental, Vision, 401KMust be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description:Seeking a highly technical Data Engineer with a software engineering foundation who can bridge business needs and analytics solutions, helping modernize data platforms, improve reporting capabilities, and deliver scalable data products.

Day-to-Day Responsibilities:

  • Partner directly with business stakeholders to gather requirements and deliver data solutions
  • Build and maintain analytics, reporting, and visualization capabilities
  • Develop data transformation and modeling solutions using SQL and Python
  • Modernize analytics infrastructure and data tooling
  • Create scalable, repeatable analytical products and processes
  • Troubleshoot data issues and improve data quality
  • Collaborate closely with engineering, product, and business teams
  • Support new initiatives, business launches, and evolving reporting requirements
  • Contribute to data architecture enhancements and integration efforts
  • Build APIs and support integration patterns where needed

Minimum Requirements:

  • 3–7 years of experience in data analytics, data engineering, or related technical roles
  • This position is not open to relocation at this time
  • Experience within hedge funds, asset management, or financial services
  • Multi-asset investing domain knowledge
  • Background in software engineering with progression into analytics and data-focused work
  • Advanced SQL skills
  • Strong Python development experience
  • Hands-on experience with Snowflake
  • Experience with data visualization and BI tools
  • Ability to translate business requirements into scalable technical solutions
  • Understanding of modern data architecture concepts
  • Experience modernizing analytics environments and tooling
  • Ability to build API endpoints and understand integration patterns
  • Strong communication and stakeholder management skills
  • Comfortable working independently in an end-to-end delivery environment
Preferred Qualifications:
  • Experience with Tableau or similar BI platforms
  • Exposure to CI/CD practices and modern software development workflows
  • Experience mentoring junior team members