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Entry Level Data Software Engineer Jobs (NOW HIRING)

Qualcomm

Staff Data Software Engineer

San Diego, CA · On-site

$137K - $202K/yr

Leverages expertise in Data engineering concepts, distributed systems architecture, and data pipeline implementations in cloud. Develops efficient techniques and optimizes software to process Big ...

Tiki AI

AI Data Software Engineer

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking an AI Data Software Engineer who will work closely with AI research labs to develop data production workflows and ensure the reliability of data pipelines. Responsibilities : • ...

Link Up Overseas

Remote Entry-Level Data Entry Clerk

$17.50 - $23.25/hr

Remote Entry-Level Data Entry Clerk Sacramento, California, United States Or refer someone Job ... Basic computer literacy, including familiarity with spreadsheets and word processing software.

SpaceXAI

Software Engineer - Data

Palo Alto, CA

$150K - $210K/yr

As a Software Engineer / AI Engineer on SpaceXAI's Data team, you will be responsible for developing the systems, processes, and production code that power data acquisition, preparation, quality ...

SpaceXAI

Software Engineer - Data

Palo Alto, CA · On-site

$134K - $161K/yr

As a Software Engineer / AI Engineer on SpaceXAI's Data team, you will be responsible for developing the systems, processes, and production code that power data acquisition, preparation, quality ...

SpaceXAI

Software Engineer - Data

Palo Alto, CA

$134K - $161K/yr

You will work closely with acquisition teams, ML engineers, and software engineers to identify data needs, build scalable data pipelines, and continuously improve the quality of the data that shapes ...

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Entry Level Data Software Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 28, 2026, the average yearly pay for entry level data software engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.
More about Entry Level Data Software Engineer jobs
What cities are hiring for Entry Level Data Software Engineer jobs? Cities with the most Entry Level Data Software Engineer job openings:
What are the most commonly searched types of Data Software Engineer jobs? The most popular types of Data Software Engineer jobs are:
What states have the most Entry Level Data Software Engineer jobs? States with the most job openings for Entry Level Data Software Engineer jobs include:
What job categories do people searching Entry Level Data Software Engineer jobs look for? The top searched job categories for Entry Level Data Software Engineer jobs are:
Entry Level Data Software Engineer jobs near you
Infographic showing various Entry Level Data Software Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Big Data Software Engineer

Big Data Software Engineer

Procom Consultants Group

Sunnyvale, CA

$65.50 - $86.50/hr

Contractor

Posted 8 days ago

Job description

Company Description

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada.
With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest "Canadian-Owned" IT staffing/consulting company.
Procom's areas of staffing expertise include:
Application Development
Project Management
Quality Assurance
Business/Systems Analysis
Datawarehouse & Business Intelligence
Infrastructure & Network Services
Risk Management & Compliance
Business Continuity & Disaster Recovery
Security & Privacy
Specialties Contract Staffing (Staff Augmentation)
Permanent Placement (Staff Augmentation)
ICAP (Contractor Payroll)
Flextrack (Vendor Management System)

Job Description

Big Data Software Engineer

On behalf of our client, Procom Services is searching for a Big Data Software Engineer  for a contract opportunity in Sunnyvale, CA.

Big Data Software Engineer Job Details

This position is to perform software engineering (programming) tasks with a small team to enhance a promising Retail Engagement Analytics product to expand the data analytic capabilities. The best candidate will be one who can implement independently with well defined interfaces in the code, but also able to work with others in a small team. We're looking for a Data Engineer who finds creative solutions to tough problems. A programmer who's not afraid to pave the way for bigger and better things. We are looking from someone who appreciates the stability of a larger company, yet interesting in going after specific leading edge technologies for a globally recognized product suite.

Big Data Software Engineer Mandatory Skills

  • Familiar with data mining, predictive models, and handling real time data flows. 
  • Facile with all the main web protocols as well as JavaScript. 
  • Java experience required, but we are open to other experience if you're willing to learn the languages we use. 
  • Experienced with using a No-SQL database like Mongo or Elastic Search. 
  • Experience with data infrastructure and visualization toolsets - eg. Tableau, Qlik, amazon redshift, etc 
  • Able to recommend ways to improve data reliability, efficiency, and quality. 
  • Enough programming knowledge to clean and scrub noisy datasets. 
  • Bonus points if experience includes working with IOT and sensor data.

Big Data Software Engineer Start Date

ASAP

Big Data Software Engineer Assignment Length

7+ months

Additional Information

All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only. 

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