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Data Analysis Software Developer Jobs (NOW HIRING)

Leidos

Software Developer

Colorado Springs, CO

$87.10K - $157.45K/yr

POSITION: Software Developer Location: Colorado Springs, CO Make an Impact with Leidos! Leidos ... in data integration and fusion, data analytics, data mining, predictive analytics, data ...

Leidos

Software Developer

Colorado Springs, CO · On-site

$87.10K - $157.45K/yr

POSITION: Software Developer Location: Colorado Springs, CO Make an Impact with Leidos! Leidos ... in data integration and fusion, data analytics, data mining, predictive analytics, data ...

Leidos

Software Developer

Colorado Springs, CO

$87.10K - $157.45K/yr

POSITION: Software Developer Location: Colorado Springs, CO Make an Impact with Leidos! Leidos ... in data integration and fusion, data analytics, data mining, predictive analytics, data ...

Leidos

Software Developer

Colorado Springs, CO · On-site

$87.10K - $157.45K/yr

POSITION: Software Developer Location: Colorado Springs, CO Make an Impact with Leidos! Leidos ... in data integration and fusion, data analytics, data mining, predictive analytics, data ...

Hexagon AB

Principal Software Developer

Madison, AL · On-site

Data analysis software such as Microsoft Power BI, including data warehousing, extract/transform ... Programming or scripting languages * Experience working in an agile/scrum environment Please note:

Aquila Technology

Software Developer

Lexington, MA

Software Developer Clearance Level: Must be able to obtain a Active Secret Clearance - Must be a US ... What You Will Bring * 2 years Data Analysis * 2 years - JSON and XML data formats * 2 years ...

Aquila Technology

Software Developer

Lexington, MA

Software Developer Clearance Level: Must be able to obtain a Active Secret Clearance - Must be a US ... What You Will Bring * 2 years Data Analysis * 2 years - JSON and XML data formats * 2 years ...

Avtech solution

Software Developer

Indianapolis, IN · On-site

Analyze & review the existing system to understand system capabilities, workflow & integration w ... Develop data model in smart communications data modeler based on XSD schema. * Develop template ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Ensure Data Solutions, LLC

Software Developer

Miami, FL · On-site

$80K - $100K/yr

... for a Software Engineer/Programmer with experience in healthcare to produce and implement ... Experience in design/development and healthcare data analytics environment. * Analytical mind with ...

Omm IT Solutions

... programming with data analysis software such as R, Python, SAS, or MATLAB. \n \n \n \n \n \n

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

As of May 31, 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:
Malware Analysis Software Developer

Malware Analysis Software Developer

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 56 rated research

Job description

Description
Description
Do you have experience analyzing complex software systems and understanding how adversarial software behaves?
Are you passionate about developing innovative software and analysis capabilities that improve national security and cyber defense?
Do you work best in an intellectually stimulating, professionally rewarding, and fun environment?
If so, we're looking for someone like you to join our APL team.
We are seeking a motivated and creative Cyber Analytics Software Engineer who will...
  • Design, develop, test, and maintain software tools and analytic capabilities that support malware analysis, reverse engineering, and cyber threat analysis.
  • Analyze malicious software, adversarial techniques, and suspicious behaviors to support defensive cyber operations and national security missions.
  • Develop scalable and maintainable software for binary analysis, behavioral analysis, telemetry processing, detection engineering, and automated cyber analytics.
  • Work on multidisciplinary teams staffed with world-class experts in cybersecurity, software engineering, data science, and computer systems research.
  • Develop software that enables analysts to better understand malware functionality, persistence mechanisms, command-and-control behavior, exploitation techniques, and system impacts.
  • Participate in projects involving reverse engineering, systems programming, software architecture, distributed systems, data analysis, automation, and visualization.
  • Devise and implement algorithms, frameworks, and new analytic approaches that improve malware detection, classification, and understanding of adversarial behavior.
  • Analyze software, system artifacts, and operational data to identify malicious behaviors, vulnerabilities, and opportunities to improve defensive capabilities.
  • Share knowledge by clearly articulating ideas through technical papers, presentations, and demonstrations to technical staff, management, and Government decision makers.
  • Join an environment that promotes professional growth, work/life balance, and technical development.
  • Have opportunities to participate in fun, social activities like our weekly game nights and yearly summer cookout!

Qualifications
You meet the minimum qualifications for this position if you have:
  • A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Applied Math, or a related field.
  • 2+ years of professional experience or a combination of relevant internship, research, or graduate experience in software engineering, cybersecurity, malware analysis, reverse engineering, or related areas.
  • Experience developing software in one or more programming languages such as Python, C++, Rust, Java, Go, or JavaScript/TypeScript.
  • Experience working with Linux-based development environments and modern software engineering practices including version control, testing, and continuous integration.
  • Familiarity with malware analysis, reverse engineering, binary analysis, operating systems internals, or cybersecurity concepts.
  • Ability to understand complex software systems and develop robust, maintainable solutions in collaborative environments.
  • Interest in local limited travel, which may be required.
  • Ability to obtain an Interim Top Secret level security clearance by your start date. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
  • Demonstrate strong interpersonal skills and the ability to work independently and on a team.

You'll go above and beyond our minimum requirements if you have:
  • A Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Applied Math, or a related field, and 5+ years of experience in software engineering, malware analysis, reverse engineering, cyber threat analysis, or related areas.
  • Experience performing malware analysis, reverse engineering, behavioral analysis, or binary analysis on Windows and Linux platforms.
  • Experience with tools and frameworks such as Ghidra, IDA Pro, Binary Ninja, x64dbg, WinDbg, YARA, Wireshark, Volatility, or similar analysis platforms.
  • Experience with low-level systems programming, operating systems internals, networking, or exploitation techniques.
  • Experience developing software for cyber analytics, telemetry processing, detection engineering, or automated analysis pipelines.
  • Experience with scripting and automation using Python or similar languages.
  • Familiarity with virtualization, containers, cloud infrastructure, or distributed systems.
  • Experience writing published papers and presenting results to conferences/workshops.
  • Current DoD clearance and prior experience working with Government agencies or Research Labs.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$100,000 Annually
Maximum Rate
$245,000 Annually

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