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Computer Science Economics Jobs in Virginia (NOW HIRING)

Bachelor's degree in science, technology, engineering, mathematics, computer science, economics, or related technical discipline. Hands-on experience with GCP (preferred) or AWS/Azure Experience with ...

Data Scientist

Arlington, VA ยท On-site +1

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * Proficiency in Python, including ...

Cloud Engineer

Tysons, VA

$122K - $200K/yr

Bachelor's degree in science, technology, engineering, mathematics, computer science, economics, or related technical discipline.Hands-on experience with GCP (preferred) or AWS/Azure * Experience ...

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Clearance ...

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Clearance ...

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Clearance ...

Senior Data Engineer

Arlington, VA ยท Hybrid

$121K - $165K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 8+ years of ...

Senior Data Engineer

Arlington, VA ยท On-site

$122K - $165K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 8+ years of ...

Senior Data Engineer

Arlington, VA ยท Hybrid

$122K - $165K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 8+ years of ...

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Computer Science Economics information

See Virginia salary details

$10.9K

$97.2K

$159.1K

How much do computer science economics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science economics in Virginia is $97,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $21,800.00 and $158,600.00 per year, depending on experience, location, and employer.

What are the typical responsibilities and daily activities for professionals in a Computer Science Economics role?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What is a Computer Science Economics job?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What are the key skills and qualifications needed to thrive in the Computer Science Economics position, and why are they important?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Can I make 200k with a computer science degree?

Computer Science professionals can potentially earn $200,000 or more annually, especially in high-demand roles such as software engineering, data science, or machine learning, often in tech hubs or with extensive experience and advanced skills. Achieving this salary typically requires several years of experience, specialized knowledge, and sometimes advanced certifications or advanced degrees.
What job categories do people searching Computer Science Economics jobs in Virginia look for? The top searched job categories for Computer Science Economics jobs in Virginia are:
Cloud Engineer with Security Clearance

Cloud Engineer with Security Clearance

LMI

Fairfax, VA โ€ข On-site

$122K - $200K/yr

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Overview LMI is seeking a Cloud Engineer to support our LIGER platform to meet specific customer needs. This position requires the ability to obtain a security clearance, for which you must be a U.S. citizen. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Responsible for evaluating cloud-based technical solutions/designs in accordance with client requirements. Provide expertise to monitor the designing and engineering of infrastructure and applications to the cloud. Responsible for client's overall cloud experience, including being the engineering point-of-contact for resolving reported performance or delivery issues. Responsible for ensuring that all vendor cloud solutions comply with industry and Government-mandated security protocols, controls, and best-practices. Work closely with Cybersecurity resources to document controls, support accreditation, Interim Authorization to Test (IATT) and Authority to Operate (ATO) documentation and provide metrics to comply with audits. Responsible for escalating issues, problems, risks, and constraints to the appropriate levels for clarification and resolution. Administer and monitor IL4/IL5/IL6 cloud accounts and performance levels. Build parent and child accounts or organizations within an IL4/IL5/IL6 environment. Maintain a working knowledge of AWS products and capabilities. Perform unsupervised, hands-on work in gov-cloud environments. Work independently within team environments to set up and maintain cloud architectures. Manage multiple and competing customer priorities with little supervision. Develop High Availability and Disaster Recovery processes in accordance with government and industry guidelines. Help establish DevSecOps Pipelines within the Gov-Cloud Framework. Design and deploy solutions within Google Cloud Platform environments, including project/org structure, IAM, and networking. Build and manage containerized workloads using GKE or Cloud Run. Support data pipelines leveraging BigQuery, Pub/Sub, or Dataflow. Qualifications Minimum: Bachelor's degree in science, technology, engineering, mathematics, computer science, economics, or related technical discipline. Hands-on experience with GCP (preferred) or AWS/Azure
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform. Certification in one or more cloud platforms (AWS, Azure, or GCP). Experience with maintaining hybrid cloud solutions. Experience using GitLab for CI/CD and automated deployments. Strong familiarity using Linux toolsets to support and analyze network related topics and issues. GCP Professional Cloud Architect certification or equivalent (preferred). Previous government technology experience. Demonstrated experience with US Army technology, systems, and command & control policies and procedures. Experience with Agile development methodologies and working with Agile teams. Experience designing and deploying solutions in GCP environments (preferred). Familiarity with GCP services such as GKE, Cloud Run, BigQuery, IAM. Ability to obtain a security clearance, for which you must be a U.S. citizen. Preferred: Master's degree in science, technology, engineering, mathematics, computer science, economics, or related technical discipline Active Secret or Top Secret security clearance AWS Certified Solutions Architect Professional Experience working in IL6 or equivalent secure environments. Experience with security requirements in a federal IT environment, including FedRAMP-certified providers and FISMA requirements for acquiring an ATO. Agile certifications Experience with Cross-Domain Solutions (IL4 to IL6) Experience with GCP in regulated or government environments * Multi-cloud architecture experience (AWS + GCP) Target salary range: $122,210 - $200,000 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.