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Entry Level Data Software Engineer Jobs in New York

This role is particularly focused on building platforms that support the data science development lifecycle. You'll partner with applied scientists, AI engineers, Risk engineers, and other ML ...

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 ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

Data Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

... software quality standards • Develop user training programs, documentation, and support ... We focus on adopting a data-first approach to engineering and value-stream management, enabling ...

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 ...

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 ...

... 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 ...

... 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 ...

Develop and maintain data and analytics infrastructure using Python with Snowflake and PostgreSQL ... Strong understanding of software architecture, engineering best practices, and maintainable system ...

Showing results 21-40

Entry Level Data Software Engineer information

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 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 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 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:

What cities in New York are hiring for Entry Level Data Software Engineer jobs?

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

Software Engineer, Data Platform

Ramp

Manhattan, NY • On-site

$120 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

About the Role

The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models.

What You’ll Do
  • Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.
  • 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 learning applications.
  • Build reliable, scalable, maintainable, and cost-efficient systems across the stack.
What You Need
  • Experience with workflow orchestrators like Airflow, Dagster, or Prefect.
  • Experience building infrastructure on AWS, GCP, or Azure.
  • Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.
  • Intuition around analytics and machine learning, and empathy for data science workflows.
  • Strong Python programming skills.
Nice to Haves
  • Expertise with AWS
  • Previous experience building online machine learning systems.
  • Previous experience building a feature store.
  • Experience with Terraform and Datadog
  • Experience building streaming systems.
Benefits (for U.S.-based full-time employees)
  • 100% medical, dental & vision insurance coverage for you
    • Partially covered for your dependents
    • One Medical annual membership
  • 401k (including employer match on contributions made while employed by Ramp)
  • Flexible PTO
  • Fertility HRA (up to $10,000 per year)
  • Parental Leave
  • Unlimited AI token usage
  • Pet insurance
  • Centralized home-office equipment ordering for all employees
  • Health and Wellness stipend
  • In-office perks: lunch, snacks, drinks, and more
  • Budget for intra-office travel
  • Relocation support to NYC or SF (as needed)
Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: Ramp will only contact you through official @ Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

Ramp Applicant Privacy Notice

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