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Entry Level Data Software Engineer Jobs in Edison, NJ

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 ...

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 ...

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 ...

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 ...

... 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 ...

Software Engineer IT Company (Parsippany, NJ) seeks Software Engineer to gather requirements ... Analyze, design, implement data pipelines, client/server applications using COBOL, JCL, Java ...

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 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 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

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

$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 ...

Engineer II, Data Engineering

New York, NY · Hybrid

$125K - $150K/yr

Magnite is growing, and we need software developers who are thorough and agile, capable of breaking down and solving problems and have a strong will to get things done. In the DV+ Data Engineering ...

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Showing results 1-20

Entry Level Data Software Engineer information

See Edison, NJ salary details

$46.1K

$134.3K

$183.8K

How much do entry level data software engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level data software engineer in Edison, NJ is $134,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $142,300.00 per year, depending on experience, location, and employer.

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, and why are they important?

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 Edison, NJ? For Entry Level Data Software Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Software Engineer jobs in Edison, NJ look for? The top searched job categories for Entry Level Data Software Engineer jobs in Edison, NJ are:
Infographic showing various Entry Level Data Software Engineer job openings in Edison, NJ as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 10% Part Time, 2% Contract, and 10% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,289 per year, or $64.6 per hour.
Compliance, Data Eng- Software Engineering, Associate, New York

Compliance, Data Eng- Software Engineering, Associate, New York

Goldman Sachs, Inc.

New York, NY • On-site

$125K - $150K/yr

Full-time

Posted 8 days ago


Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks


Job description


RESPONSIBILITIES
Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering, and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers. Combine the best open source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights.
As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance and others, to build and automate solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more.
Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact.
BASIC QUALIFICATIONS
  • Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline.
  • Excellent functional analysis and design skills.
  • Knowledge of data structures, algorithms, and designing for performance.
  • Excellent written and verbal communication skills.
  • Ability to solve problems and apply analysis to make data driven decisions.
  • Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
  • Can apply an entrepreneurial approach and passion to problem solving and product development.
  • 2+ years of software development experience.
  • Cloud experience with Snowflake is a strong asset
  • AI experience is also a strong asset with Copilot, Claude etc

Expert Knowledge in One Or More Of
  • Programming in a complied language such as Java, Scala or an interpreted language such as Python and experience with concurrency and memory management.
  • Large data processing development experience such as Spark, MapReduce etc

Preferred Qualifications
  • Knowledge or interest in trading technologies in the front-office of a trading organization
  • B.S. or M.S. Computer Science or Related field.

ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869