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Entry Level Software Engineer Jobs in Halethorpe, MD

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Entry Level Software Engineer information

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$23.4K

$102.4K

$184.6K

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

As of Aug 17, 2026, the average yearly pay for entry level software engineer in Halethorpe, MD is $102,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $117,200.00 per year, depending on experience, location, and employer.

What does an entry level software engineer do?

An entry level software engineer is responsible for assisting in the design, development, testing, and maintenance of software applications. They typically work under the guidance of more experienced engineers and may write code, debug programs, and participate in code reviews. The role often involves learning company-specific tools and workflows, collaborating with team members, and continuously improving technical skills. Entry level software engineers are expected to adapt quickly, communicate effectively, and contribute to the team's overall goals.

What does an entry level software engineer do?

An Entry-Level Software Engineer, also called a Junior Engineer, works with a team of mid-level and senior engineers to develop, test, and maintain software applications and programs. The job duties of Junior Software Engineers typically include relatively simple routine tasks, such as debugging, testing, and code documentation. These tasks hone a Junior Engineer’s skills and familiarize them with the company’s code base. As Software Engineers gain more years of experience, they work on more complex development projects.

What are the key skills and qualifications needed to thrive as an entry level software engineer, and why are they important?

To thrive as an Entry Level Software Engineer, you need a solid understanding of programming languages (such as Java, Python, or C++), computer science fundamentals, and often a relevant bachelor’s degree. Familiarity with version control systems like Git, development frameworks, and basic software development tools is typically expected. Strong problem-solving abilities, eagerness to learn, and effective collaboration are standout soft skills in this role. These skills are crucial for building reliable software, adapting to evolving technologies, and contributing productively to team projects.

What types of projects do entry level software engineers typically work on, and how do they collaborate with other team members?

Entry level software engineers often start by working on smaller features, bug fixes, or assisting with testing and documentation within larger projects. They usually collaborate closely with senior engineers, product managers, and QA teams through code reviews, daily stand-ups, and pair programming sessions. This structure helps new engineers learn best practices, understand the codebase, and gradually take on more complex assignments. Effective communication and a willingness to learn are key to success in these collaborative environments.

What is the difference between Entry Level Software Engineer vs Software Developer?

AspectEntry Level Software EngineerSoftware Developer
Required CredentialsBachelor's in CS or related field; some internshipsBachelor's in CS or related; coding experience
Work EnvironmentTeam-based, collaborative projects, entry-level tasksProject-focused, coding, debugging, and implementation
Employer & Industry UsageTech companies, startups, IT departmentsSoftware firms, tech startups, enterprise IT
Common Search & ComparisonYesYes

Entry Level Software Engineers and Software Developers often share similar educational backgrounds and work environments. The main difference lies in their roles: engineers may focus more on designing systems and architecture, while developers typically concentrate on coding and implementation. Both roles are essential in tech industries and often overlap in job functions, but understanding these distinctions helps job seekers target the right positions.

How to get a job as an entry level software engineer with no experience?

To secure an entry level software engineer position with no experience, focus on building a strong foundation in programming languages like Python or Java, create a portfolio of personal projects, and gain familiarity with tools such as Git and Linux. Internships, coding bootcamps, and certifications can also improve your chances by demonstrating practical skills to employers.

Is 25 too late to become an entry level software engineer?

Entry level software engineering roles are open to individuals of various ages, including those starting in their mid-20s. Many employers value skills, relevant training, and problem-solving ability over age, and career changers often successfully transition into software engineering at this stage by learning programming languages and gaining practical experience. Age is generally not a barrier to entering the field at an entry level.

What is the entry-level position for a software engineer?

The entry-level position for a software engineer is typically called a Software Engineer I or Junior Software Engineer. It involves basic coding, debugging, and learning company tools and processes, often requiring familiarity with programming languages like Java, Python, or C++. This role provides foundational experience and may require a bachelor's degree in computer science or related fields.
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What are the most commonly searched types of Software Engineer jobs in Halethorpe, MD?

The most popular types of Software Engineer jobs in Halethorpe, MD are:

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For Entry Level Software Engineer jobs in Halethorpe, MD, the most frequently searched job titles are:

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Entry Level Software Engineer jobs near you
Infographic showing various Entry Level Software Engineer job openings in Halethorpe, MD as of August 2026, with employment types broken down into 75% Full Time, 5% Part Time, and 20% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $102,420 per year, or $49.2 per hour.

Data Engineer - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Columbia, MD • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Description
A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.
Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.
Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means...), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:
Despite the title of this role being "Data Engineer" (which sounds very specific), it is actually a great opportunity to demonstrate the diversity of your skills across the data science spectrum. From procurement, consolidation, and cleansing to modeling and presentation, you will influence and add value in several areas across the data science life cycle in order to answer mission and business questions. Subject areas include but are not limited to the following:
  • Employ a variety of languages and tools (e.g., scripting languages) to integrate systems.
  • Conduct research and leverage large volumes of data from multiple sources to answer mission and business questions.
  • Employ sophisticated analytics, programs, machine learning, and statistical methods to prepare data for use in analytical processes and prescriptive modeling.
  • Explore and examine data for hidden patterns.
  • Automate work through the use of predictive and prescriptive analytics.
  • Develop processes to extract/transform/load (ETL) data between different systems.

What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:
  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques...!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:
  • Experience in identifying, developing, and deploying new approaches to automate data collection, consolidation, and analysis
  • Proven ability to develop and deploy software and scripts needed to collect business-relevant metrics based on enterprise data

These are important skills to have, but not necessarily mandatory:
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React
  • Familiarity with Agile processes and structures, and able to work on a software development team

The total package:
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information.
Salary Range:
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself.
  • Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are:
    • Entry-level: $95,000 - $135,000
    • Mid-level: $110,000 - $155,000
    • Senior-level: $135,000 - $235,000

Some of our additional perks and benefits include:
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
  • Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!

Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

Apply