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Entry Level Data Software Engineer Jobs in New York

BC Forward

Data Engineer

Manhattan, NY · On-site

$78.75 - $83.83/hr

Collaborate across software engineering disciplines including analysis, development, testing, and deployment. Required Skills & Qualifications: Proficiency in Big Data development and toolsets (e.g ...

Virtusa Corporation

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Contributes to software engineering communities of practice and events that explore new and ... data models based on new use cases Frequently uses SQL and understands NoSQL databases and their ...

Uncountable

Scientific Data Engineer

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Uncountable is seeking recent graduates interested in a career in data engineering to help manage ... We're looking for motivated software engineers who can help to build out tools that will accelerate ...

Team 653 INT

software engineer

New York, NY · Remote

Software Engineer Results-driven Software Engineer with experience in designing, developing ... oriented programming, data structures, and algorithms. Experienced in building scalable web ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ... You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with ...

Jane Street

Data Engineer

New York, NY

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ... You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with ...

Ramp

Software Engineer, Data Platform

New York, NY · On-site

$168K - $324K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers. * Collaborate with stakeholder teams on building and productionizing machine ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and security across the organization. Key Responsibilities: * Design, develop, and ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and security across the organization. Key Responsibilities: * Design, develop, and ...

Chalk

Software Engineer

Manhattan, NY · On-site

Chalk is building a data platform for machine learning applications, focusing on overcoming challenges in complexity, latency, and scale. The Software Engineer will tackle engineering problems with ...

Point72

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Role: We are looking for a quantitative software developer to join our team and contribute to ... Improve data ETL pipeline and build tools to analyze new data efficiently. * Build technologies to ...

Point72

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Role: We are looking for a quantitative software developer to join our team and contribute to ... Improve data ETL pipeline and build tools to analyze new data efficiently. * Build technologies to ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We build our own tools and software when needed, so you'll also help shape the systems you use ... It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise ...

New York University

Software Engineer

New York, NY · On-site

$100K - $250K/yr

Description Center for Data Science at NYU seeks a full-time software engineer position as part of its new initiative, Polymathic AI, Building Foundation Models for Science. Recent advances in ...

Jane Street

Software Engineer

New York, NY · On-site

... data analysis, visualization, and machine learning. We also believe in the value of open source ... Software engineering at Jane Street is highly collaborative, and we are looking for people who can ...

Jane Street

Software Engineer

New York, NY

... data analysis, visualization, and machine learning. We also believe in the value of open source ... Software engineering at Jane Street is highly collaborative, and we are looking for people who can ...

Imagen Technologies

Software Engineer

Manhattan, NY · On-site

$130K - $150K/yr

Software Engineer (Ref#DL0426) New York, NY Remote Full-time Responsibilities: Design and develop ... Algorithms Data Visualization. Salary $130,000-$150,000 depending on location and experience.

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Entry Level Data Software Engineer information

What is the difference between Entry Level Data Software Engineer vs Data Analyst?

AspectEntry Level Data Software EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; programming skills in Python, Java, or SQLBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentDeveloping data pipelines, software tools, and applications; collaborating with data engineers and software developersAnalyzing data sets, creating reports, and visualizations; working closely with business teams
Employer & Industry UsageTech companies, startups, and enterprises focusing on data-driven software solutionsFinance, marketing, healthcare, and consulting firms focusing on data insights

While both roles involve working with data, Entry Level Data Software Engineers focus on building data systems and software, requiring programming skills. Data Analysts primarily interpret data to provide insights, emphasizing analysis and visualization. The roles often overlap but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as an entry level data software engineer?

To thrive as an Entry Level Data Software Engineer, you need foundational knowledge in programming (such as Python, Java, or SQL), data structures, and algorithms, typically supported by a relevant degree or coursework in computer science or related fields. Familiarity with tools like Git, databases (e.g., MySQL, PostgreSQL), and data processing frameworks (such as Hadoop or Spark) is often required. Problem-solving abilities, attention to detail, and strong teamwork and communication skills help you adapt and collaborate effectively. These skills and qualities are essential for building reliable data solutions and contributing to team-driven engineering projects.

What are some common challenges faced by entry level data software engineers, and how can they overcome them?

Entry level data software engineers often encounter challenges such as understanding complex data pipelines, adapting to new technologies quickly, and collaborating with cross-functional teams. To overcome these challenges, it's helpful to ask questions regularly, seek mentorship from more experienced colleagues, and invest time in learning the company's tech stack and best practices. Developing strong communication skills will also make it easier to work with data scientists, analysts, and other engineers, ensuring smoother collaboration and faster professional growth.

What does an entry level data software engineer do?

An Entry Level Data Software Engineer designs, develops, and maintains software systems that handle and process data. They often work with databases, data pipelines, and tools for collecting, storing, and analyzing large datasets. Their responsibilities typically include writing code, debugging, testing applications, and collaborating with other engineers or data scientists. This role is ideal for those new to the field, as it allows them to build foundational skills in software engineering and data management.

What are popular job titles related to Entry Level Data Software Engineer jobs in New York?

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

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The top searched job categories for Entry Level Data Software Engineer jobs in New York are:

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Cities in New York with the most Entry Level Data Software Engineer job openings:

Entry Level Data Software Engineer jobs near you

RESEARCHER (SOFTWARE ENGINEER) in Data Science and Cultural Heritage

New York University

New York, NY • On-site

$63K - $65K/yr

Full-time

Re-posted 17 days ago

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

80th of 618 rated colleges and universities

Job description

Description
The NYU Archaeology Hub is hiring a RESEARCHER (SOFTWARE ENGINEER) to help build a next-generation open-source platform for collecting, managing, and exploring archaeological and cultural heritage data. Archaeological projects and heritage collections generate enormous quantities of complex data, including field records and photographs, scientific analytical outputs, 3D models, and computational imaging datasets. Working closely with the Antefixa Project, the initiatives of the NYU Archaeology Hub, and other NYU archaeological and heritage projects, the successful candidate will develop software tools that improve how archaeological data are captured, integrated, queried, and analyzed. The position will focus on creating intuitive mobile and desktop applications, APIs, middleware, and AI-enabled interfaces that connect diverse data systems and workflows. A key part of the role is developing user-focused advanced data design and ideation practice for a new heritage platform that will initially serve research teams at New York University, with aims toward broader community adoption. The role requires expertise in UI/UX design, data infrastructure for structured and unstructured data, and data modeling, along with a strong interest in user-centered design for archaeologists and cultural heritage specialists.
The successful candidate will have a commitment to research and expanding their skillsets while collaborating with archaeologists, data scientists, software engineers, industry partners, and museum professionals to develop scalable tools that support active research projects while contributing to a broader vision for archaeological data infrastructure. The role is particularly well suited to an early-career developer, research software engineer, or data scientist interested in applying advanced technical skills to real-world research challenges and building systems with lasting impact.
This position is based in New York and the selected candidate will be expected to work onsite as of their effective start date.
Job Summary:
The successful candidate will take end-to-end ownership of a platform and data ecosystem for archaeological and cultural heritage data, working like a technical lead in a small, fast-moving team. Initial work will focus on integrating and enhancing existing data structures for the Antefixa Project, which contain hundreds of thousands of data points, including archaeological records, scientific analyses, imaging data, and 3D models. You will partner with researchers as early adopters to elicit and specify user requirements, translate them into a practical product roadmap, and deliver working features. Responsibilities span the full stack: designing data models and a flexible, scalable backend that can integrate heterogeneous datasets across formats, standards, and projects; building intuitive interfaces that support both field data capture and long-term data stewardship; and running iterative user testing to refine usability and workflows. You will also build and maintain integrations that enable machine learning/AI-driven analysis (including natural-language interfaces and interpretive tools) and contribute to coordination of meetings, events, and digital communications for the NYU Archaeology Hub.
Primary Responsibilities
  • Lead development of software infrastructure supporting archaeological and cultural heritage data.
  • Design and implement mobile and desktop applications for field, laboratory, and collections-based data capture.
  • Develop APIs and middleware connecting databases, cloud storage systems, imaging repositories, and analytical datasets.
  • Build workflows that automate data ingestion, validation, synchronization, routing, and file management.
  • Design user-centered interfaces through requirements gathering, testing, and iterative refinement.
  • Integrate machine-learning and AI-enabled tools into research workflows.
  • Develop natural-language (LLM-enabled) interfaces for querying and exploring complex datasets.
  • Support integration of scientific, archaeometric, imaging, and 3D data into unified workflows.
  • Help evaluate and adapt software solutions developed through Antefixa for broader application across Archaeology Hub projects, collections initiatives, and stewardship programs.
  • Contribute to long-term planning for interoperable archaeological data infrastructure.

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $63,000-65,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
Qualifications
Required Qualifications
  • Master's degree (or equivalent professional experience) in Computer Science, Data Science, Information Science, Software Engineering, Digital Humanities, Archaeology, or a related field.
  • Demonstrated experience building and deploying software applications.
  • Strong programming skills (Python required; additional languages/frameworks desirable).
  • Experience with full-stack development and API design.
  • Experience working with databases and data modeling.
  • Familiarity with cloud-based storage and collaborative software environments.
  • Experience integrating machine-learning, AI, or LLM-based technologies into applications.
  • Demonstrated ability to learn complex research domains rapidly and translate domain-specific requirements into technical solutions.
  • Strong communication skills and ability to work with non-technical collaborators.
  • Demonstrated ability to work independently and take ownership of technical projects.

Preferred Qualifications
  • Experience with relational databases, DAMS, or research data systems.
  • Experience building cross-platform applications for mobile and desktop environments.
  • Knowledge of metadata standards, ontologies, and data interoperability.
  • Experience with GIS, 3D data, scientific imaging, or computational visualization.
  • Familiarity with archaeological, museum, cultural heritage, or research environments.
  • Open-source software development experience.
  • Experience with NVIDIA, cloud AI platforms, or accelerated computing environments.
  • Interest in research software engineering, digital stewardship, and long-term infrastructure development.

Application Instructions
Pleae upload a CV and Cover letter outlining an expression of interest, and pertinent areas of experience
We are seeking to fill this position with an anticipated start date of August/September. Applications will be accepted until the position is filled.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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