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Entry Level Data Software Engineer Jobs in Massachusetts

Roberts Recruiting

Data/Software Engineer

Cambridge, MA · On-site

$125.10K - $150.30K/yr

Specific duties will include developing enhancements to our Hadoop/Hive and Redshift based data ... Strong software development skills, including experience with Java. * Degree in Computer Science or ...

Roberts Recruiting

Data/Software Engineer

Boston, MA · On-site

$124.80K - $149.80K/yr

Specific duties will include developing enhancements to our Hadoop/Hive and Redshift based data ... Strong software development skills, including experience with Java. * Degree in Computer Science or ...

Roberts Recruiting

Software Engineer

Cambridge, MA · On-site

Job Purpose We are seeking a software engineer who is passionate about solving data processing algorithm and computation challenges in genome technologies and applications to clinical diagnostics.

Anduril Industries

Software Engineer

Quincy, MA · On-site

... data structures, concurrency, scaling, testing, infrastructure, software design and system design ... Engineer Company : Anduril Industries is a defense technology company that specializes in ...

Hasbro

Data Engineer

Boston, MA

$124.40K - $149.40K/yr

What You'll Bring * 1-3 years of hands-on experience in data engineering, software engineering, or a related field - or equivalent demonstrated skills through internships, academic projects, or self ...

Chipton Ross

Software Engineer

Cambridge, MA · On-site

Bachelor's degree and typically 3 or more years' experience in a software engineering ... Familiarity with data acquisition and signal processing techniques. * Familiar with version control ...

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Entry Level Data Software Engineer information

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$48.6K

$141.7K

$193.9K

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

As of May 30, 2026, the average yearly pay for entry level data software engineer in Massachusetts is $141,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,200.00 per year, depending on experience, location, and employer.

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 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 Massachusetts? For Entry Level Data Software Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Software Engineer jobs in Massachusetts look for? The top searched job categories for Entry Level Data Software Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Entry Level Data Software Engineer jobs? Cities in Massachusetts with the most Entry Level Data Software Engineer job openings:
Entry Level Data Software Engineer jobs near you
Data/Software Engineer

Data/Software Engineer

Roberts Recruiting

Cambridge, MA • On-site

$125.10K - $150.30K/yr

Other

Medical, Retirement

Posted 16 days ago

Job description

Opportunity
By applying and enforcing standard and best practices, you will design and develop scalable, 247 data and reporting services to process billions of events per day. Specific duties will include developing enhancements to our Hadoop/Hive and Redshift based data pipeline and extend to streamed data processing; contributing to data reporting projects including generating internal and external reports or visualizations (CSV, Excel, PDF, interactive web graphics and others) and data distribution / reporting components, real-time bidding or optimization algo using a combination of SQL, Ruby, R, Go, Java, Javascript, D3, Bourne shell scripts, cron jobs, and other relevant technologies. Will also be expected to implement new services and algorithms to improve our product.
The ideal candidate has hands-on data processing experience. Candidate must be familiar with current distributed computing data technologies on commodity servers and have experience with 247 production needs.
Requirements
  • Strong SQL skills on large-scale databases, knowledge of any of the following RDBMS such as MySQL, Postgres, Redshift, Hive or others.
  • Experience with Linux or Unix based systems - including Bourne shell, cron and other Unix utilities.
  • Strong software development skills, including experience with Java.
  • Degree in Computer Science or a related field.
Desired Technology Experience
  • Experience with at least one of Ruby/Python, Bourne Shell or other scripting languages.
  • Experience with Hadoop/MapReduce and/or EMR, including experience in developing MapReduce Jobs in Java or developing Hive UDF.
  • ETL Experience maintaining multiple data systems.
  • Experience with Ooozie or other Hadoop workflow solutions and experience developing complex data processing pipelines, including experience developing regressions tests and deployment strategies for such environments.
  • Experience with data reporting solutions - either developed in house or with 3rd party solutions.
  • Working experience developing and supporting 247 production data services and pipelines on Linux systems - including experience being on-call supporting such services. Experience with AWS preferred.
Challenges we are tackling
  • Reliably processing billions of events per day with no data loss 247 on commodity hardware.
  • Processing events in near real-time.
  • Building for the fragility of cloud and distributed services.
  • Complex processing of large amounts of data in an efficient manner.
  • Reporting, distribution of data, data analysis, data visualization and machine learning algorithms.
  • Low latency data stores for use in bidding or algo optimization.
Comp & Benefits
  • Competitive comp based on experience level
  • Healthcare HMO & PPO
  • Stock options and 401k
  • Flexible Spending and Transit Reimbursement Accounts

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