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Entry Level Data Software Engineer Jobs in Virginia

Software Engineer

Warrenton, VA · On-site

$100K - $150K/yr

We are seeking a Software Engineer who thrives on developing high-throughput data, low-latency code, and complex algorithm implementation. The available position moves beyond high-level application ...

... data. • Ensure software solutions comply with government cybersecurity regulations and information assurance requirements. • Support Agile, DevOps, and DevSecOps software development and ...

Data Engineer

Chantilly, VA

$117K - $140K/yr

Effectively articulating the risks and constraints associated with software solutions, based on ... Demonstrated data analysis, parsing, and programming language experience (e.g. Python, Java ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

We're looking for someone who thrives at the intersection of software engineering, data engineering, and real-world implementations, creating scalable systems that transform raw data into actionable ...

... data engineering, blockchain, and cloud-native software application development." We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and fast ...

... data engineering, blockchain, and cloud-native software application development." We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and fast ...

... data engineering, blockchain, and cloud-native software application development." We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and fast ...

Data Engineer The Data Scientist supports advanced analytics and data-driven decision-making for ... Apply software design patterns, code review practices, and unit/integration testing * Build and ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

We're looking for someone who thrives at the intersection of software engineering, data engineering, and real-world implementations, creating scalable systems that transform raw data into actionable ...

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

Data Engineer The Data Scientist supports advanced analytics and data-driven decision-making for ... Apply software design patterns, code review practices, and unit/integration testing * Build and ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

We're looking for someone who thrives at the intersection of software engineering, data engineering, and real-world implementations, creating scalable systems that transform raw data into actionable ...

Software Engineer (Entry)

Richmond, VA · On-site

$90K - $115K/yr

Who We Are Pattern Data is an AI-powered platform built for the complexities of mass tort ... What You'll Do As a Software Engineer at Pattern Data, you will: * Learn from the best - work ...

Showing results 21-40

Entry Level Data Software Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

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

As of Aug 18, 2026, the average yearly pay for entry level data software engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an entry level data software engineer?

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 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 cities in Virginia are hiring for Entry Level Data Software Engineer jobs?

Cities in Virginia with the most Entry Level Data Software Engineer job openings:

Infographic showing various Entry Level Data Software Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

$100K - $150K/yr

Full-time

Re-posted 26 days ago


Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.
 
Position: Software Engineer
 
Location: Warrenton, VA
 
Position Description:
We are seeking a Software Engineer who thrives on developing high-throughput data, low-latency code, and complex algorithm implementation. The available position moves beyond high-level application code, focusing on the intersection of systems programming, digital signal processing, and real-time data orchestration. As a Software Engineer at Altamira, you will design and build the software engines that power our sensing and communication platforms. You will be responsible for the full software lifecycle - architecting data pipelines, implementing algorithms in code, and developing robust APIs. You must be comfortable working in a Linux-centric environment where performance optimization and memory management are critical.
 
Key Responsibilities:
· High-Performance Development: Architect and maintain mission-critical applications using C++ for performance-intensive processing and Python for prototyping algorithms, systems logic, data manipulation, and rapid feature deployment.
· Data Orchestration: Develop software to handle high-rate data streams over UDP/TCP, ensuring packet integrity and low-latency transfer between hardware and software.
· Automation & Tooling: Create Python-based tools for automated testing, signal simulation, and benchmarking performance of the software stack. Support GitLab CI integration for automated build and deployments.
· Software-Defined DSP: Translate complex mathematical algorithms (FFTs, FIR filters, DDC, spectral estimation) into efficient, scalable Digital Signal Processing (DSP) software implementations.
· Agile Collaboration: Lead and participate in code reviews, utilize Git and Jira development productivity tools, support complex software releases in a collaborative environment.
 
Must-Have Qualifications and Experience:
· Software Engineering: Professional software development experience with an emphasis on C/C++ and Python.
· Linux Systems: Proficiency with multi-threading, Inter-Process Communication (IPC), and network socket programming.
· Frameworks: Experience with X-Midas or similar signal processing frameworks (e.g., GNU Radio, REDHAWK).
· Mathematical Computing: Experience implementing mathematical / scientific algorithms in code.
· Software Best Practices: Strong rasp of Object-Oriented Design (OOD), design patterns, and modern DevOps/CI/CD.
 
Nice-To-Have Qualifications and Experience:
· CUDA or OpenCL: Experience using GPU-accelerated signal processing.
· Docker or Podman: Knowledge of containerization and orchestration for deploying processing nodes.
· Signals: Familiarity with signal characteristics (pulsed/CW radar, modulations) and algorithms (FFTs, FIR filters, DDC).
· Digital Signal Processing (DSP): Understanding of concepts and software implementation (NumPy, SciPy, or FFTW).
· Applications: Background in Electronic Warfare (EW) or SIGINT (COMINT, ELINT) application areas.
 
Clearance Requirements:
Must be a U.S. citizen and be able to obtain up to a TS/SCI clearance.
 
 
The anticipated salary range for this position is $100,000 to $150,000. Actual compensation will be determined based on several factors, including, but not limited to, the scope of the position, relevant experience, education, certifications, internal equity, customer contractual requirements, security clearance requirements, and other legitimate business considerations.