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Data Analysis Software Developer Jobs (NOW HIRING)

Booz Allen Hamilton

Software Developer

Fayetteville, NC · On-site

Booz Allen Hamilton is seeking a software developer to create user-oriented solutions through ... data analytics • Knowledge of the uses and limitations of Generative Artificial Intelligence ...

ECR Software Corporation

Software Developer

Boone, NC · On-site

Software Developers also analyze and design databases within an application area. RESPONSIBILITIES ... data, or controlling other equipment. * Develops or directs software system testing and validation ...

SynergisticIT

Software Developer

Richardson, TX · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Marathon TS

Be Seen First

Software Developer II

Huntsville, AL · On-site

$48 - $59/hr

A large client of ours is seeking an experienced Software Developer II to join their dynamic team ... Safety Analysis; Real-Time System Data Analysis; Problem Analysis; System Integration Company ...

Americhem

Data Engineer Intern

Concord, NC · On-site

This role is ideal for a candidate who is currently pursuing an Associate's, Bachelor's, or Master's degree in Computer Science, Information Systems, Data Analytics, Software Engineering, or a ...

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Data Analysis Software Developer information

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$48K

$111.8K

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How much do data analysis software developer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data analysis software developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analysis Software Developer, and why are they important?

To thrive as a Data Analysis Software Developer, you need strong programming skills (typically in Python, R, or Java), a background in statistics or mathematics, and experience with data structures and algorithms, usually supported by a degree in computer science or a related field. Familiarity with data analysis libraries (such as Pandas, NumPy, or dplyr), database systems (like SQL), and version control tools (e.g., Git) is essential, and certifications in data science or analytics can be advantageous. Critical thinking, attention to detail, and effective communication are important soft skills for translating complex data into actionable insights and collaborating with stakeholders. These skills are crucial for building robust, efficient analytics solutions that drive informed decision-making and add value to organizations.

How do Data Analysis Software Developers typically collaborate with data scientists and business analysts within a project team?

Data Analysis Software Developers work closely with data scientists and business analysts to bridge the gap between complex data needs and practical software solutions. They collaborate by translating analytical requirements into robust, scalable software tools and platforms, ensuring that data pipelines, visualization dashboards, and analytical features align with stakeholders’ goals. Regular meetings, code reviews, and joint problem-solving sessions are common, fostering strong communication and shared understanding. This collaborative environment helps ensure that the software developed is both technically sound and meets the practical needs of end-users.

What does a Data Analysis Software Developer do?

A Data Analysis Software Developer designs, builds, and maintains software tools and applications that help organizations analyze and interpret complex data sets. They work closely with data scientists, analysts, and business stakeholders to create solutions for collecting, processing, and visualizing data. This role often involves programming, understanding databases, and implementing algorithms to extract valuable insights from data. Additionally, they ensure the software is efficient, scalable, and user-friendly to support data-driven decision-making.

What is the difference between Data Analysis Software Developer vs Data Analyst?

AspectData Analysis Software DeveloperData Analyst
Required SkillsProgramming, software development, data modelingData interpretation, statistical analysis, visualization
CertificationsProgramming certifications, data management coursesStatistical or data analysis certifications
Work EnvironmentDeveloping data tools, coding, software projectsAnalyzing data sets, creating reports, dashboards
Industry UsageTech companies, software firms, data-driven organizationsBusiness, finance, marketing, healthcare sectors

While both roles work with data, a Data Analysis Software Developer focuses on creating software tools and applications for data analysis, requiring programming skills. In contrast, a Data Analyst primarily interprets data to generate insights and reports, often using existing tools. Understanding these differences helps in choosing the right career path or job search focus.

What states have the most Data Analysis Software Developer jobs? States with the most job openings for Data Analysis Software Developer jobs include:
Infographic showing various Data Analysis Software Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,845 per year, or $53.8 per hour.
entry level software developer/Data scientist

entry level software developer/Data scientist

SynergisticIT

Orlando, FL

$106.90K - $128.40K/yr

Other

Posted 27 days ago

Job description

CS/IT Graduates or About to be Grads. Get Hired by following a Process!
Graduating with a CS degree is impressive - but it's not enough anymore. Employers want hands-on experience, real projects, and interview-ready candidates.
Getting hired in tech isn't just about knowing how to code - it's about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you're ready to contribute. A CS degree gives you a foundation, but employers want more - they want proof you can apply your knowledge in real-world scenarios.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it. A degree proves you can learn-but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back. It's not because you're "not smart enough." It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI-full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI-so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k-$154k range depending on role and skill depth. For a new grad, the bigger message isn't the number-it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in. If you master fundamentals-coding, debugging, data structures, system thinking-and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level" candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren't "tool collectors"-they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck-
Fresh grads often struggle for four predictable reasons:
  1. Resume doesn't match job keywords (ATS filters you out).
  2. Projects look like school assignments (not production-aligned).
  3. Interview skills are undertrained (DSA, system design, SQL, behavioral).
  4. No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes."
Who this path fits best
If you're a recent graduate, you'll likely fit if you match any of these:
  • New grads in CS, Engineering, Math, or Statistics with limited job experience
  • Students finishing Bachelor's or Master's programs who need a real hiring plan
  • Candidates who apply consistently but don't get callbacks
  • Candidates who reach interviews but struggle to close
  • International students on F-1/OPT who need a job plan for STEM extension/H-1B timing
  • Graduates with strong academics but thin practical experience
SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links:
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact & get a roadmap: https://www.synergisticit.com/contact-us/

Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses." You need a guided, job-focused path and the right people around you. In tech, it's not just what you learn-it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume

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