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Entry Level Data Software Engineer Jobs in Edison, NJ

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

They are seeking a talented Data Engineer to design and develop cloud-native data pipelines on ... agile software development processes, and collaborating in multi-functional agile teams • ...

... 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

$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 ...

We're looking for a Software Engineer to work across data, platform, and infrastructure layers--owning everything from customer-facing reporting pipelines to internal platform features and modern ...

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 ...

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 ...

Software Engineer Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ...

Apple is seeking an experienced software engineer to join the Data Solutions team within Data Services, responsible for building and evolving the distributed data systems that power Apple's most ...

We're looking for a Software Engineer to work across data, platform, and infrastructure layers-owning everything from customer-facing reporting pipelines to internal platform features and modern ...

They are seeking a Software Engineer to join their Engineering team to build and improve backend ... data-intensive applications and gaining exposure to cutting-edge techniques in: • Real-time ...

Software Engineer

New York, NY · On-site

$130K - $160K/yr

We're looking for a Software Engineer to work across data, platform, and infrastructure layers-owning everything from customer-facing reporting pipelines to internal platform features and modern ...

Software Engineer

New York, NY · On-site

$170K - $200K/yr

As a Software Engineer , you will help build the core product and platform systems that power ... Implement AI-powered workflows for document processing and data extraction * Design intuitive ...

SOFTWARE ENGINEER Current is a leading consumer fintech platform transforming financial access for ... Our backend services are written in Java and our data pipelines are built in Scala. We work across ...

As a Software Engineer , you will help build the core product and platform systems that power ... Implement AI-powered workflows for document processing and data extraction * Design intuitive ...

Data Engineer, Platform

New York, NY · On-site

$125K - $150K/yr

You combine software engineering discipline with deep understanding of data systems and ML requirements. This role is embedded across Platform and Research teams, working on infrastructure that ...

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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 Jun 17, 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:

Data Engineer

TechBlocks

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Posted 4 days ago


Job description

Job Summary:
TechBlocks is a global digital product engineering company with 16+ years of experience helping Fortune 500 enterprises and high-growth brands accelerate innovation. They are seeking a talented Data Engineer to design and develop cloud-native data pipelines on Google Cloud, enabling reliable data processing and integration of machine learning models.
Responsibilities:
• Use the latest technology to build data pipelines and integrate machine learning models
• Build and expand our data platform
• Develop applications that run on a Google Cloud-based infrastructure.
Qualifications:
Required:
• 2+ years of experience in Big Data and Data Engineering, building enterprise-level applications in a public cloud, preferably Google Cloud
• Experience building cloud-native data pipelines using Python, Apache Airflow, Apache Spark, and Apache Beam
• Working knowledge of SQL and data warehousing concepts, including PostgreSQL and BigQuery
• Comfortable using Azure DevOps or similar CI/CD tools, Git
• Experience with TDD, agile software development processes, and collaborating in multi-functional agile teams
• Communicate effectively with technical teams and non-technical stakeholders
• Bachelor's degree in Computer Science or related engineering discipline, or equivalent combination of education and experience
Preferred:
• knowledge of Mongo and AlloyDB is a plus
• experience building Docker images and deploying them to a Production environment
• Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using Terraform
• experience with C#, .NET core, and microservices
Company:
We are the digital engineering and digital transformation partner of some of the most recognized brands in the world. Founded in 2006, the company is headquartered in Vaughan, CAN, with a team of 501-1000 employees. The company is currently Late Stage.